{"as_of":"2026-08-16T08:19:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:a91fdaa9eece4857bca918163d45dfd7f643fb25c462dba77eef923550342434","coverage":[{"denominator":74,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":74,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-15T22:36:16.119492Z","state":"measured"},{"denominator":74,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":74,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-16T06:30:59.297886+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2505.06860/citation-record","integrity":"/paper/2505.06860/integrity","json":"/paper/2505.06860/citation-record.json","paper":"/paper/2505.06860"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T22:36:17.478453Z","title":"Secure deep learning framework for moving object detection in compressed video","venue":null,"work_id":"d324448d-febe-41f5-acb3-f7ca0a57d593","year":2023},"citing_paper":{"arxiv_id":"2505.06860","last_updated":"2025-05-11T06:11:10Z","snapshot_observed_at":"2026-08-15T22:28:52.167794Z","submitted_at":"2025-05-11T06:11:10Z","title":"DP-TRAE: A Dual-Phase Merging Transferable Reversible Adversarial Example for Image Privacy Protection","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-15T22:36:15.749117Z"},"links":{"citing_paper":"/paper/2505.06860"},"observation_digest":"sha256:427c1d4f5a602ae389b105f6732e8fb6aaa976fa3481dfd93a1abc8e59ac5e26","observation_id":"18826bb0-bf1d-4550-8d00-30d4fd7c106e","resolution":{"observed_at":"2026-08-15T22:36:17.484077Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T22:36:17.462061Z","title":"Attribute-based encryption with reliable outsourced decryption in cloud computing using smart contract","venue":null,"work_id":"e35321a2-9803-408f-969d-bb43d9634396","year":2023},"citing_paper":{"arxiv_id":"2505.06860","last_updated":"2025-05-11T06:11:10Z","snapshot_observed_at":"2026-08-15T22:28:52.167794Z","submitted_at":"2025-05-11T06:11:10Z","title":"DP-TRAE: A Dual-Phase Merging Transferable Reversible Adversarial Example for Image Privacy Protection","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-15T22:36:15.754585Z"},"links":{"citing_paper":"/paper/2505.06860"},"observation_digest":"sha256:2a1618edf0fa61e89c19dd26659383d0452593d20afb042b7b5afcc25e0691ed","observation_id":"7d956ad0-5fb6-43f2-a7fd-9db89a6a266f","resolution":{"observed_at":"2026-08-15T22:36:17.467624Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T22:36:17.445917Z","title":"FedSN: A Federated Learning Framework over Heterogeneous LEO Satellite Networks","venue":null,"work_id":"8cd9d864-9672-4686-8610-b3fda664ea35","year":2024},"citing_paper":{"arxiv_id":"2505.06860","last_updated":"2025-05-11T06:11:10Z","snapshot_observed_at":"2026-08-15T22:28:52.167794Z","submitted_at":"2025-05-11T06:11:10Z","title":"DP-TRAE: A Dual-Phase Merging Transferable Reversible Adversarial Example for Image Privacy Protection","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-15T22:36:15.759511Z"},"links":{"citing_paper":"/paper/2505.06860"},"observation_digest":"sha256:d8985fb4931ac29c76dd656936746a7310fe6b22560b90f8b4733bb6f4ef2798","observation_id":"3d8f2a3f-b981-4309-a0de-eddc7f2d6cfa","resolution":{"observed_at":"2026-08-15T22:36:17.451268Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2404.06448","last_updated":"2024-12-06T07:10:30Z","snapshot_observed_at":"2026-08-14T18:43:06.766874Z","submitted_at":"2024-04-09T16:50:30Z","title":"Automated Federated Pipeline for Parameter-Efficient Fine-Tuning of Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.06448","snapshot_observed_at":"2026-08-15T22:36:15.764526Z","title":"Automated Federated Pipeline for Parameter- efficient Fine-tuning of Large Language Models","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.06860","last_updated":"2025-05-11T06:11:10Z","snapshot_observed_at":"2026-08-15T22:28:52.167794Z","submitted_at":"2025-05-11T06:11:10Z","title":"DP-TRAE: A Dual-Phase Merging Transferable Reversible Adversarial Example for Image Privacy Protection","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-15T22:36:15.764526Z"},"links":{"cited_paper":"/paper/2404.06448","citing_paper":"/paper/2505.06860"},"observation_digest":"sha256:0b3be3c16ece071ec79a7a961bb8dd64bbf6b0f099c6c779fdd1319418909386","observation_id":"17a28c40-061d-4dc1-a99d-bf2efeafb597","resolution":{"observed_at":"2026-08-15T22:36:15.764526Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2501.01850","last_updated":"2025-01-03T14:59:48Z","snapshot_observed_at":"2026-08-14T17:26:21.539986Z","submitted_at":"2025-01-03T14:59:48Z","title":"LCFed: An Efficient Clustered Federated Learning Framework for Heterogeneous Data","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.01850","snapshot_observed_at":"2026-08-15T22:36:15.770254Z","title":"Lcfed: An efficient clustered federated learning framework for heterogeneous data","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.06860","last_updated":"2025-05-11T06:11:10Z","snapshot_observed_at":"2026-08-15T22:28:52.167794Z","submitted_at":"2025-05-11T06:11:10Z","title":"DP-TRAE: A Dual-Phase Merging Transferable Reversible Adversarial Example for Image Privacy Protection","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-15T22:36:15.770254Z"},"links":{"cited_paper":"/paper/2501.01850","citing_paper":"/paper/2505.06860"},"observation_digest":"sha256:32f8f4139937a6bf020c7a2c5327f2051b492ba830dc63c36db65dd3a0a33348","observation_id":"c3be1e37-8161-421c-b451-e89f4939ac89","resolution":{"observed_at":"2026-08-15T22:36:15.770254Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.06345","last_updated":"2024-04-21T09:12:19Z","snapshot_observed_at":"2026-08-13T00:34:08.839289Z","submitted_at":"2024-04-09T14:33:16Z","title":"AgentsCoDriver: Large Language Model Empowered Collaborative Driving with Lifelong Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.06345","snapshot_observed_at":"2026-08-15T22:36:15.775628Z","title":"AgentsCoDriver: Large Language Model Empow- ered Collaborative Driving with Lifelong Learning","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.06860","last_updated":"2025-05-11T06:11:10Z","snapshot_observed_at":"2026-08-15T22:28:52.167794Z","submitted_at":"2025-05-11T06:11:10Z","title":"DP-TRAE: A Dual-Phase Merging Transferable Reversible Adversarial Example for Image Privacy Protection","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-15T22:36:15.775628Z"},"links":{"cited_paper":"/paper/2404.06345","citing_paper":"/paper/2505.06860"},"observation_digest":"sha256:0298317a991aa58ece910ae4e03252225d45b72cde82f16a4f93cabb78355c1f","observation_id":"d23bbf05-3146-489c-81e5-030cf2546575","resolution":{"observed_at":"2026-08-15T22:36:15.775628Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.02592","last_updated":"2024-11-21T07:16:05Z","snapshot_observed_at":"2026-08-16T07:57:18.317741Z","submitted_at":"2024-10-03T15:34:41Z","title":"IC3M: In-Car Multimodal Multi-object Monitoring for Abnormal Status of Both Driver and Passengers","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.02592","snapshot_observed_at":"2026-08-15T22:36:15.781426Z","title":"IC3M: In-Car Multimodal Multi- Object Monitoring for Abnormal Status of Both Driver and Passengers","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.06860","last_updated":"2025-05-11T06:11:10Z","snapshot_observed_at":"2026-08-15T22:28:52.167794Z","submitted_at":"2025-05-11T06:11:10Z","title":"DP-TRAE: A Dual-Phase Merging Transferable Reversible Adversarial Example for Image Privacy Protection","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-15T22:36:15.781426Z"},"links":{"cited_paper":"/paper/2410.02592","citing_paper":"/paper/2505.06860"},"observation_digest":"sha256:0f6b002b25768708dab03a15e6db88ecb25064961b69a5a5284fb3fd98666586","observation_id":"354a86dd-30f8-4f76-952e-7e251c54d357","resolution":{"observed_at":"2026-08-15T22:36:15.781426Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T22:36:17.430455Z","title":"Hierarchical Split Federated Learning: Convergence Analysis and System Optimization","venue":null,"work_id":"23a765b7-99f3-443d-a848-1e1a96162d26","year":2025},"citing_paper":{"arxiv_id":"2505.06860","last_updated":"2025-05-11T06:11:10Z","snapshot_observed_at":"2026-08-15T22:28:52.167794Z","submitted_at":"2025-05-11T06:11:10Z","title":"DP-TRAE: A Dual-Phase Merging Transferable Reversible Adversarial Example for Image Privacy Protection","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-15T22:36:15.786602Z"},"links":{"citing_paper":"/paper/2505.06860"},"observation_digest":"sha256:6271a0ad17c3c89e02d2335951a27f36af438c6c1fedc571c98e946e81787caf","observation_id":"8c8b6e0b-8578-43e0-8dcc-9902ea299d3e","resolution":{"observed_at":"2026-08-15T22:36:17.435375Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T22:36:17.412354Z","title":"Accelerating Federated Learning with Model Segmentation for Edge Networks","venue":null,"work_id":"5c4ec01a-3f58-4722-b5af-15d5cc2fa497","year":2024},"citing_paper":{"arxiv_id":"2505.06860","last_updated":"2025-05-11T06:11:10Z","snapshot_observed_at":"2026-08-15T22:28:52.167794Z","submitted_at":"2025-05-11T06:11:10Z","title":"DP-TRAE: A Dual-Phase Merging Transferable Reversible Adversarial Example for Image Privacy Protection","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-15T22:36:15.791553Z"},"links":{"citing_paper":"/paper/2505.06860"},"observation_digest":"sha256:740d9eb538e2e7f6a98afa8181c4ae891eae56ca0cca7c69d943def00d58bb21","observation_id":"041859ed-0bcb-4c6c-96ae-af31e90ba7bd","resolution":{"observed_at":"2026-08-15T22:36:17.419017Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T22:36:17.396091Z","title":"Graph Learning for Multi-Satellite Based Spectrum Sensing","venue":null,"work_id":"6f7b91c1-1595-4477-bf13-82a3977765f8","year":2023},"citing_paper":{"arxiv_id":"2505.06860","last_updated":"2025-05-11T06:11:10Z","snapshot_observed_at":"2026-08-15T22:28:52.167794Z","submitted_at":"2025-05-11T06:11:10Z","title":"DP-TRAE: A Dual-Phase Merging Transferable Reversible Adversarial Example for Image Privacy Protection","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-15T22:36:15.796078Z"},"links":{"citing_paper":"/paper/2505.06860"},"observation_digest":"sha256:ddde9500bce06929e9126662dec3d16e8ab8aa3163f1e7d28afad385e536ede1","observation_id":"542ed32c-fdaf-43ff-819c-1c32f6da0e63","resolution":{"observed_at":"2026-08-15T22:36:17.401572Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2501.02775","last_updated":"2025-01-06T05:37:31Z","snapshot_observed_at":"2026-08-15T01:00:48.772835Z","submitted_at":"2025-01-06T05:37:31Z","title":"Constructing 4D Radio Map in LEO Satellite Networks with Limited Samples","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.02775","snapshot_observed_at":"2026-08-15T22:36:15.801111Z","title":"Constructing 4D Radio Map in LEO Satellite Networks with Limited Samples","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.06860","last_updated":"2025-05-11T06:11:10Z","snapshot_observed_at":"2026-08-15T22:28:52.167794Z","submitted_at":"2025-05-11T06:11:10Z","title":"DP-TRAE: A Dual-Phase Merging Transferable Reversible Adversarial Example for Image Privacy Protection","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-15T22:36:15.801111Z"},"links":{"cited_paper":"/paper/2501.02775","citing_paper":"/paper/2505.06860"},"observation_digest":"sha256:a8d5c48c88a30cda8ad7480e8b8e0905aa8935a7a4c572b866d6aa404bc33983","observation_id":"acd15217-1c9e-49a8-8c15-98ce83741a54","resolution":{"observed_at":"2026-08-15T22:36:15.801111Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2504.06587","last_updated":"2025-04-18T05:11:10Z","snapshot_observed_at":"2026-08-14T07:08:54.953323Z","submitted_at":"2025-04-09T05:32:39Z","title":"SigChord: Sniffing Wide Non-sparse Multiband Signals for Terrestrial and Non-terrestrial Wireless Networks","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.06587","snapshot_observed_at":"2026-08-15T22:36:15.806742Z","title":"SigChord: Sniffing Wide Non-sparse Multiband Signals for Terrestrial and Non-terrestrial Wireless Networks","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.06860","last_updated":"2025-05-11T06:11:10Z","snapshot_observed_at":"2026-08-15T22:28:52.167794Z","submitted_at":"2025-05-11T06:11:10Z","title":"DP-TRAE: A Dual-Phase Merging Transferable Reversible Adversarial Example for Image Privacy Protection","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-15T22:36:15.806742Z"},"links":{"cited_paper":"/paper/2504.06587","citing_paper":"/paper/2505.06860"},"observation_digest":"sha256:fe9cee4e0ea7436e3217bfa35f9fbe9c015af2b4cb60d851f33e74f0df0f0ccc","observation_id":"4a966262-6a7d-442f-a78d-4ba5d3e5866e","resolution":{"observed_at":"2026-08-15T22:36:15.806742Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T22:36:17.381115Z","title":"Channel Power Gain Estimation for Terahertz Vehicle-to-Infrastructure Networks","venue":null,"work_id":"f4097df5-d65e-4e4b-bb21-ef2299d854b2","year":2022},"citing_paper":{"arxiv_id":"2505.06860","last_updated":"2025-05-11T06:11:10Z","snapshot_observed_at":"2026-08-15T22:28:52.167794Z","submitted_at":"2025-05-11T06:11:10Z","title":"DP-TRAE: A Dual-Phase Merging Transferable Reversible Adversarial Example for Image Privacy Protection","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-15T22:36:15.812697Z"},"links":{"citing_paper":"/paper/2505.06860"},"observation_digest":"sha256:5d87f5b7d32b952e74b1c248842facb5c7fc694526e260d33967cd36d086b4a2","observation_id":"ca4b8bb6-bd91-4701-829a-128c3ba5b9fb","resolution":{"observed_at":"2026-08-15T22:36:17.385984Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.00392","last_updated":"2024-11-21T06:52:56Z","snapshot_observed_at":"2026-08-13T19:31:29.861529Z","submitted_at":"2024-10-01T04:23:27Z","title":"MERIT: Multimodal Wearable Vital Sign Waveform Monitoring","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.00392","snapshot_observed_at":"2026-08-15T22:36:15.818674Z","title":"MERIT: Multimodal Wearable Vital Sign Waveform Monitoring","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.06860","last_updated":"2025-05-11T06:11:10Z","snapshot_observed_at":"2026-08-15T22:28:52.167794Z","submitted_at":"2025-05-11T06:11:10Z","title":"DP-TRAE: A Dual-Phase Merging Transferable Reversible Adversarial Example for Image Privacy Protection","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-15T22:36:15.818674Z"},"links":{"cited_paper":"/paper/2410.00392","citing_paper":"/paper/2505.06860"},"observation_digest":"sha256:f7ea451a0e21c5ff32040f40837b1b8423373d6f2d00148d4c882d8e99d5f4c1","observation_id":"32de5d63-3405-4fdb-8634-bc1b6f01a390","resolution":{"observed_at":"2026-08-15T22:36:15.818674Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T22:36:17.363911Z","title":"seeing is not always believing","venue":null,"work_id":"c339ae16-7656-463f-bcd1-718bbe1631f1","year":2021},"citing_paper":{"arxiv_id":"2505.06860","last_updated":"2025-05-11T06:11:10Z","snapshot_observed_at":"2026-08-15T22:28:52.167794Z","submitted_at":"2025-05-11T06:11:10Z","title":"DP-TRAE: A Dual-Phase Merging Transferable Reversible Adversarial Example for Image Privacy Protection","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-15T22:36:15.823858Z"},"links":{"citing_paper":"/paper/2505.06860"},"observation_digest":"sha256:4964c52c220891e2003920d88df48dc4fd9ce1e516918e3f4c9d916822f6c5ba","observation_id":"6efd8586-2a99-4c84-9364-29c6922edae1","resolution":{"observed_at":"2026-08-15T22:36:17.369887Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T22:36:17.342544Z","title":"Privacy and artificial intelligence","venue":null,"work_id":"ee89334c-253e-4423-a5ee-a30422505f7f","year":2021},"citing_paper":{"arxiv_id":"2505.06860","last_updated":"2025-05-11T06:11:10Z","snapshot_observed_at":"2026-08-15T22:28:52.167794Z","submitted_at":"2025-05-11T06:11:10Z","title":"DP-TRAE: A Dual-Phase Merging Transferable Reversible Adversarial Example for Image Privacy Protection","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-15T22:36:15.828926Z"},"links":{"citing_paper":"/paper/2505.06860"},"observation_digest":"sha256:3686bddb706dd19c040089f0986fb2ad83bce32b7680d6656cce94b77c156cc6","observation_id":"3a754a43-f8f2-4991-9492-368724ddffb2","resolution":{"observed_at":"2026-08-15T22:36:17.347687Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T22:36:17.327445Z","title":"Adversarial robustness of deep neural networks: A survey from a formal verification perspective","venue":null,"work_id":"ab615dee-b6b9-4071-9c60-08b08b8e461b","year":2022},"citing_paper":{"arxiv_id":"2505.06860","last_updated":"2025-05-11T06:11:10Z","snapshot_observed_at":"2026-08-15T22:28:52.167794Z","submitted_at":"2025-05-11T06:11:10Z","title":"DP-TRAE: A Dual-Phase Merging Transferable Reversible Adversarial Example for Image Privacy Protection","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-15T22:36:15.833920Z"},"links":{"citing_paper":"/paper/2505.06860"},"observation_digest":"sha256:68430abe4ed034072f381f841c53cd0579fc3eba380439411702f0c83b7129bc","observation_id":"140bc198-ec89-4207-a328-ac52621ba907","resolution":{"observed_at":"2026-08-15T22:36:17.332374Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T22:36:17.310085Z","title":"Machine learning in metaverse security: Current solutions and future challenges","venue":null,"work_id":"569c8aa5-035f-4e38-9a8f-53c7254adcdc","year":2024},"citing_paper":{"arxiv_id":"2505.06860","last_updated":"2025-05-11T06:11:10Z","snapshot_observed_at":"2026-08-15T22:28:52.167794Z","submitted_at":"2025-05-11T06:11:10Z","title":"DP-TRAE: A Dual-Phase Merging Transferable Reversible Adversarial Example for Image Privacy Protection","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-15T22:36:15.838511Z"},"links":{"citing_paper":"/paper/2505.06860"},"observation_digest":"sha256:e3cdcbd3187c67f87377f11a752e9204226a4302fb0984b6f9c46a264fa88cb8","observation_id":"85ba8084-c0d6-4c64-9a51-05e38e7fd22b","resolution":{"observed_at":"2026-08-15T22:36:17.315748Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T22:36:17.291947Z","title":"Xporter: A study of the multi-port charger security on privacy leakage and voice injection","venue":null,"work_id":"c6b32609-86b2-4747-9ba4-bccc9430e0c1","year":2023},"citing_paper":{"arxiv_id":"2505.06860","last_updated":"2025-05-11T06:11:10Z","snapshot_observed_at":"2026-08-15T22:28:52.167794Z","submitted_at":"2025-05-11T06:11:10Z","title":"DP-TRAE: A Dual-Phase Merging Transferable Reversible Adversarial Example for Image Privacy Protection","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-15T22:36:15.843171Z"},"links":{"citing_paper":"/paper/2505.06860"},"observation_digest":"sha256:6bdabf32ad4d8959a66678ae0f59b5596b74d911f646302698c6552b0186b977","observation_id":"2335dd10-5f79-435e-9f8b-681e56100e1a","resolution":{"observed_at":"2026-08-15T22:36:17.297445Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T22:36:17.274322Z","title":"The secret sharer: Evaluating and testing unintended memoriza- tion in neural networks","venue":null,"work_id":"fdb49fc5-8836-4faa-8848-1b4d731cdec9","year":2019},"citing_paper":{"arxiv_id":"2505.06860","last_updated":"2025-05-11T06:11:10Z","snapshot_observed_at":"2026-08-15T22:28:52.167794Z","submitted_at":"2025-05-11T06:11:10Z","title":"DP-TRAE: A Dual-Phase Merging Transferable Reversible Adversarial Example for Image Privacy Protection","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-15T22:36:15.847845Z"},"links":{"citing_paper":"/paper/2505.06860"},"observation_digest":"sha256:60c7a5bcc7ed66443c947694292f589055c6b5b6679be3f4411dce0688a29ae6","observation_id":"ae72974c-2cf4-4d52-8912-ddc5654f9009","resolution":{"observed_at":"2026-08-15T22:36:17.280639Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T22:36:17.256946Z","title":"Exploiting contactless side channels in wireless charging power banks for user privacy inference via few-shot learning","venue":null,"work_id":"31c9dec4-0221-43d6-931d-e8c08bfedbe4","year":2023},"citing_paper":{"arxiv_id":"2505.06860","last_updated":"2025-05-11T06:11:10Z","snapshot_observed_at":"2026-08-15T22:28:52.167794Z","submitted_at":"2025-05-11T06:11:10Z","title":"DP-TRAE: A Dual-Phase Merging Transferable Reversible Adversarial Example for Image Privacy Protection","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-15T22:36:15.852810Z"},"links":{"citing_paper":"/paper/2505.06860"},"observation_digest":"sha256:7af3eb8c8529bc0713aa2494d0cb91a9316fa81bbdfd58b79cfd1aa2e4c7ca81","observation_id":"ae6b27b8-1d18-4f88-922c-cd91424f442f","resolution":{"observed_at":"2026-08-15T22:36:17.262533Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2501.03562","last_updated":"2025-01-08T08:57:32Z","snapshot_observed_at":"2026-08-10T21:50:08.607629Z","submitted_at":"2025-01-07T06:22:55Z","title":"Rethinking Adversarial Attacks in Reinforcement Learning from Policy Distribution Perspective","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.03562","snapshot_observed_at":"2026-08-15T22:36:15.857440Z","title":"Rethinking Adversarial Attacks in Reinforcement Learning from Policy Distribution Perspective","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.06860","last_updated":"2025-05-11T06:11:10Z","snapshot_observed_at":"2026-08-15T22:28:52.167794Z","submitted_at":"2025-05-11T06:11:10Z","title":"DP-TRAE: A Dual-Phase Merging Transferable Reversible Adversarial Example for Image Privacy Protection","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-15T22:36:15.857440Z"},"links":{"cited_paper":"/paper/2501.03562","citing_paper":"/paper/2505.06860"},"observation_digest":"sha256:8d8ad6cfed6b189099361b18d558d1eaf0b9003ddf9ae2da51d133c7e288c1f5","observation_id":"77dedf9b-cee6-4875-9f6d-b3f428a9061c","resolution":{"observed_at":"2026-08-15T22:36:15.857440Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T22:36:17.241302Z","title":"Uncovering user interactions on smartphones via contactless wireless charging side channels","venue":null,"work_id":"97bc8562-9a60-432d-995c-5c987c286835","year":2023},"citing_paper":{"arxiv_id":"2505.06860","last_updated":"2025-05-11T06:11:10Z","snapshot_observed_at":"2026-08-15T22:28:52.167794Z","submitted_at":"2025-05-11T06:11:10Z","title":"DP-TRAE: A Dual-Phase Merging Transferable Reversible Adversarial Example for Image Privacy Protection","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-15T22:36:15.862411Z"},"links":{"citing_paper":"/paper/2505.06860"},"observation_digest":"sha256:b6e51e8b373e8d5aa2d76a214590c7c5f8d4eea906b4194409bbf90cfc900e74","observation_id":"698590fe-28ea-44f0-ac0b-02a60094eed3","resolution":{"observed_at":"2026-08-15T22:36:17.246256Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T22:36:17.225350Z","title":"Revealed: 50 million facebook profiles harvested for cambridge analytica in major data breach","venue":null,"work_id":"6e448471-60ed-481f-a117-5d733e85bac1","year":2018},"citing_paper":{"arxiv_id":"2505.06860","last_updated":"2025-05-11T06:11:10Z","snapshot_observed_at":"2026-08-15T22:28:52.167794Z","submitted_at":"2025-05-11T06:11:10Z","title":"DP-TRAE: A Dual-Phase Merging Transferable Reversible Adversarial Example for Image Privacy Protection","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-15T22:36:15.867316Z"},"links":{"citing_paper":"/paper/2505.06860"},"observation_digest":"sha256:6a3986776fa3971f4ac4acc53895848e169970e04ed35e47852ff86c8c00bb20","observation_id":"8cc0f748-30c6-4bdc-9271-b3f772266b91","resolution":{"observed_at":"2026-08-15T22:36:17.230485Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T22:36:17.210573Z","title":"Subnetwork- lossless robust watermarking for hostile theft attacks in deep transfer learning models","venue":null,"work_id":"19491a73-cfcf-4737-9dfd-7237445af4d2","year":2022},"citing_paper":{"arxiv_id":"2505.06860","last_updated":"2025-05-11T06:11:10Z","snapshot_observed_at":"2026-08-15T22:28:52.167794Z","submitted_at":"2025-05-11T06:11:10Z","title":"DP-TRAE: A Dual-Phase Merging Transferable Reversible Adversarial Example for Image Privacy Protection","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-15T22:36:15.872380Z"},"links":{"citing_paper":"/paper/2505.06860"},"observation_digest":"sha256:2299939f37087ab4efb166d841dffe4d85f794b236276ec25dcf65bc416d40da","observation_id":"773069ec-d7c6-463d-90d1-7290296d529d","resolution":{"observed_at":"2026-08-15T22:36:17.215259Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T22:36:17.195102Z","title":"Towards transferable targeted adversarial examples","venue":null,"work_id":"f696306a-3ec2-4ca8-b463-62a26b48f7f5","year":2023},"citing_paper":{"arxiv_id":"2505.06860","last_updated":"2025-05-11T06:11:10Z","snapshot_observed_at":"2026-08-15T22:28:52.167794Z","submitted_at":"2025-05-11T06:11:10Z","title":"DP-TRAE: A Dual-Phase Merging Transferable Reversible Adversarial Example for Image Privacy Protection","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-15T22:36:15.876951Z"},"links":{"citing_paper":"/paper/2505.06860"},"observation_digest":"sha256:080953df8b4d4d67396a77beb9cc68926f096b99c6d5194aa779a63602a50900","observation_id":"067093c5-65ab-4326-aad7-f42b79489ff5","resolution":{"observed_at":"2026-08-15T22:36:17.200248Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T22:36:17.179618Z","title":"On generating transferable targeted pertur- bations","venue":null,"work_id":"46e7e33b-7cd2-4c1a-b3da-eb92bc2e9795","year":2021},"citing_paper":{"arxiv_id":"2505.06860","last_updated":"2025-05-11T06:11:10Z","snapshot_observed_at":"2026-08-15T22:28:52.167794Z","submitted_at":"2025-05-11T06:11:10Z","title":"DP-TRAE: A Dual-Phase Merging Transferable Reversible Adversarial Example for Image Privacy Protection","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-15T22:36:15.882100Z"},"links":{"citing_paper":"/paper/2505.06860"},"observation_digest":"sha256:7c9e4c3ad74a37d2ca01afcfa8b61d0e87f0538973b76f4f65fe01e19e74ac06","observation_id":"b5f2b738-342c-41c8-8adc-c19039a4428f","resolution":{"observed_at":"2026-08-15T22:36:17.184664Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T22:36:17.161682Z","title":"Interpreting universal adversarial example attacks on image classification models","venue":null,"work_id":"6a420c10-5a6e-4db7-96c4-ffe450e430be","year":2022},"citing_paper":{"arxiv_id":"2505.06860","last_updated":"2025-05-11T06:11:10Z","snapshot_observed_at":"2026-08-15T22:28:52.167794Z","submitted_at":"2025-05-11T06:11:10Z","title":"DP-TRAE: A Dual-Phase Merging Transferable Reversible Adversarial Example for Image Privacy Protection","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-15T22:36:15.886831Z"},"links":{"citing_paper":"/paper/2505.06860"},"observation_digest":"sha256:3bb2bf69ce8c582e05ab151115bcd608fab1c4e391f939b8699da3d2d57182bf","observation_id":"2a5e1321-0dd6-49ac-acc6-88a85b0d834b","resolution":{"observed_at":"2026-08-15T22:36:17.167068Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T22:36:17.145846Z","title":"Cross-domain trans- ferability of adversarial perturbations","venue":null,"work_id":"628c9df4-73c2-4866-81a9-109fbbaa41d7","year":2019},"citing_paper":{"arxiv_id":"2505.06860","last_updated":"2025-05-11T06:11:10Z","snapshot_observed_at":"2026-08-15T22:28:52.167794Z","submitted_at":"2025-05-11T06:11:10Z","title":"DP-TRAE: A Dual-Phase Merging Transferable Reversible Adversarial Example for Image Privacy Protection","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-15T22:36:15.891726Z"},"links":{"citing_paper":"/paper/2505.06860"},"observation_digest":"sha256:69b8b91d642ab7d45b0aa9568585192870210a1d4655151186247da923436bf6","observation_id":"22f43220-d442-4b02-bce2-8e767264b8be","resolution":{"observed_at":"2026-08-15T22:36:17.150597Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T22:36:17.128991Z","title":"Feature importance-aware transferable adversarial attacks","venue":null,"work_id":"19ac023a-8d2e-4dcc-8724-b28140024782","year":2021},"citing_paper":{"arxiv_id":"2505.06860","last_updated":"2025-05-11T06:11:10Z","snapshot_observed_at":"2026-08-15T22:28:52.167794Z","submitted_at":"2025-05-11T06:11:10Z","title":"DP-TRAE: A Dual-Phase Merging Transferable Reversible Adversarial Example for Image Privacy Protection","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-15T22:36:15.896228Z"},"links":{"citing_paper":"/paper/2505.06860"},"observation_digest":"sha256:3c4a5abbe3d75ee0c550f00310d55b55e16f872ea18614419ee6579b10ff7a8d","observation_id":"8a3b7392-0f17-4452-8b51-6cc1c35db1ed","resolution":{"observed_at":"2026-08-15T22:36:17.134225Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T22:36:15.901032Z","title":"Itpatch: An invisible and triggered physical adversarial patch against traffic sign recognition","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.06860","last_updated":"2025-05-11T06:11:10Z","snapshot_observed_at":"2026-08-15T22:28:52.167794Z","submitted_at":"2025-05-11T06:11:10Z","title":"DP-TRAE: A Dual-Phase Merging Transferable Reversible Adversarial Example for Image Privacy Protection","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-15T22:36:15.901032Z"},"links":{"citing_paper":"/paper/2505.06860"},"observation_digest":"sha256:dc9eaf00210f9362e4e66886826653804938fb416a5422a877d3ce4229062706","observation_id":"9d1e16e9-64a5-4fa1-844c-330665d2f275","resolution":{"observed_at":"2026-08-15T22:36:15.901032Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T22:36:17.112801Z","title":"Toward understanding and boosting adversarial transferability from a distribution perspective","venue":null,"work_id":"98ceb3a1-30f2-491d-a969-cf7b1964f36b","year":2022},"citing_paper":{"arxiv_id":"2505.06860","last_updated":"2025-05-11T06:11:10Z","snapshot_observed_at":"2026-08-15T22:28:52.167794Z","submitted_at":"2025-05-11T06:11:10Z","title":"DP-TRAE: A Dual-Phase Merging Transferable Reversible Adversarial Example for Image Privacy Protection","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-15T22:36:15.906166Z"},"links":{"citing_paper":"/paper/2505.06860"},"observation_digest":"sha256:1be1cf3259bdf35c177d52a9e5d8c71d0032bff4425b4b2e7375f96f3b37b641","observation_id":"38b74aa6-18b0-4835-9edb-434226879f78","resolution":{"observed_at":"2026-08-15T22:36:17.117671Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1312.6199","last_updated":"2014-02-19T16:33:14Z","snapshot_observed_at":"2026-08-15T16:41:15.505782Z","submitted_at":"2013-12-21T03:36:08Z","title":"Intriguing properties of neural networks","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1312.6199","snapshot_observed_at":"2026-08-15T22:36:15.911022Z","title":"Intriguing properties of neural networks","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2505.06860","last_updated":"2025-05-11T06:11:10Z","snapshot_observed_at":"2026-08-15T22:28:52.167794Z","submitted_at":"2025-05-11T06:11:10Z","title":"DP-TRAE: A Dual-Phase Merging Transferable Reversible Adversarial Example for Image Privacy Protection","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-15T22:36:15.911022Z"},"links":{"cited_paper":"/paper/1312.6199","citing_paper":"/paper/2505.06860"},"observation_digest":"sha256:200fd317f6edcfd93dfe44ae943213c467eb1653e50f5e02812589bf30739d6c","observation_id":"d104697b-9168-4b9d-96fe-eaf5a153df3a","resolution":{"observed_at":"2026-08-15T22:36:15.911022Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T22:36:17.096616Z","title":"Adversarial image perturbation for privacy protection a game theory perspective","venue":null,"work_id":"58187fbd-5568-4ef5-b040-27e1b9b26743","year":2017},"citing_paper":{"arxiv_id":"2505.06860","last_updated":"2025-05-11T06:11:10Z","snapshot_observed_at":"2026-08-15T22:28:52.167794Z","submitted_at":"2025-05-11T06:11:10Z","title":"DP-TRAE: A Dual-Phase Merging Transferable Reversible Adversarial Example for Image Privacy Protection","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-15T22:36:15.916390Z"},"links":{"citing_paper":"/paper/2505.06860"},"observation_digest":"sha256:6c20c779ca912db86467a2906eabf02790aacdc570bd7958c1154a9bc60cf4d0","observation_id":"e44a91fc-c474-4667-ba89-3f3c716e6f91","resolution":{"observed_at":"2026-08-15T22:36:17.102163Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T22:36:15.921403Z","title":"Diffprotect: Generate adversarial examples with diffusion models for facial privacy protection","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.06860","last_updated":"2025-05-11T06:11:10Z","snapshot_observed_at":"2026-08-15T22:28:52.167794Z","submitted_at":"2025-05-11T06:11:10Z","title":"DP-TRAE: A Dual-Phase Merging Transferable Reversible Adversarial Example for Image Privacy Protection","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-15T22:36:15.921403Z"},"links":{"citing_paper":"/paper/2505.06860"},"observation_digest":"sha256:e523234f6c86425c7fddb6ab5a26eaf2bf063dab458bf52b1dd18461c9db155e","observation_id":"08519aa5-d7df-4617-bdc6-92ed2b9e5c63","resolution":{"observed_at":"2026-08-15T22:36:15.921403Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T22:36:17.080439Z","title":"Socialguard: An adversarial example based privacy- preserving technique for social images","venue":null,"work_id":"fc9384ff-af4b-4e9a-98b3-ddd47729a1b5","year":2021},"citing_paper":{"arxiv_id":"2505.06860","last_updated":"2025-05-11T06:11:10Z","snapshot_observed_at":"2026-08-15T22:28:52.167794Z","submitted_at":"2025-05-11T06:11:10Z","title":"DP-TRAE: A Dual-Phase Merging Transferable Reversible Adversarial Example for Image Privacy Protection","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-15T22:36:15.926009Z"},"links":{"citing_paper":"/paper/2505.06860"},"observation_digest":"sha256:a548ec59ed5d71c4166473a3634f6c66b009ffd477ca8a274f83f9151a4d4d59","observation_id":"dae337ef-0f5c-4910-b553-dd8176795d07","resolution":{"observed_at":"2026-08-15T22:36:17.085785Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T22:36:17.062796Z","title":"Unauthorized ai cannot recognize me: Reversible adversarial example","venue":null,"work_id":"a5ca0e5f-4273-4f42-a0e1-a22825a8b939","year":2023},"citing_paper":{"arxiv_id":"2505.06860","last_updated":"2025-05-11T06:11:10Z","snapshot_observed_at":"2026-08-15T22:28:52.167794Z","submitted_at":"2025-05-11T06:11:10Z","title":"DP-TRAE: A Dual-Phase Merging Transferable Reversible Adversarial Example for Image Privacy Protection","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-15T22:36:15.931130Z"},"links":{"citing_paper":"/paper/2505.06860"},"observation_digest":"sha256:46ce9e90b8ac2d96b1ec57a370b463d85874e12fa10bd027a1cd50317512eda9","observation_id":"e49fcd98-a9d7-426e-97e4-7959049641f1","resolution":{"observed_at":"2026-08-15T22:36:17.068890Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T22:36:17.038302Z","title":"A black-box reversible adversarial example for authorizable recognition to shared images","venue":null,"work_id":"de20ae33-d907-4d46-a001-ba9118b771cc","year":2023},"citing_paper":{"arxiv_id":"2505.06860","last_updated":"2025-05-11T06:11:10Z","snapshot_observed_at":"2026-08-15T22:28:52.167794Z","submitted_at":"2025-05-11T06:11:10Z","title":"DP-TRAE: A Dual-Phase Merging Transferable Reversible Adversarial Example for Image Privacy Protection","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-15T22:36:15.936132Z"},"links":{"citing_paper":"/paper/2505.06860"},"observation_digest":"sha256:01374aaa4e7ec05d5564d7043ef3129d10dbf563f2f85c069e724c5e3d43410c","observation_id":"7a8cf4fe-c83b-4b12-ba3b-7d264ebf7b48","resolution":{"observed_at":"2026-08-15T22:36:17.043532Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T22:36:17.021435Z","title":"Self- recoverable adversarial examples: A new effective protection mechanism JOURNAL OF LATEX CLASS FILES, VOL","venue":null,"work_id":"0d00a5cc-e2f5-45be-87ec-b3d96169f607","year":2021},"citing_paper":{"arxiv_id":"2505.06860","last_updated":"2025-05-11T06:11:10Z","snapshot_observed_at":"2026-08-15T22:28:52.167794Z","submitted_at":"2025-05-11T06:11:10Z","title":"DP-TRAE: A Dual-Phase Merging Transferable Reversible Adversarial Example for Image Privacy Protection","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-15T22:36:15.940903Z"},"links":{"citing_paper":"/paper/2505.06860"},"observation_digest":"sha256:4b7bf2855bff60519e207cb604a0853464a2d2637a9f612d04622e97d2a6e707","observation_id":"4434196f-d89a-4b82-a570-fc1f951538b4","resolution":{"observed_at":"2026-08-15T22:36:17.026587Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T22:36:17.004273Z","title":"Reversible data hiding in encrypted images based on pixel prediction and bit-plane compression","venue":null,"work_id":"df0e75ad-531d-4802-b752-9a84b4ce871f","year":2020},"citing_paper":{"arxiv_id":"2505.06860","last_updated":"2025-05-11T06:11:10Z","snapshot_observed_at":"2026-08-15T22:28:52.167794Z","submitted_at":"2025-05-11T06:11:10Z","title":"DP-TRAE: A Dual-Phase Merging Transferable Reversible Adversarial Example for Image Privacy Protection","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-15T22:36:15.945768Z"},"links":{"citing_paper":"/paper/2505.06860"},"observation_digest":"sha256:4257ae6d12b6b8a8833b5012133b2284236ec784f7045a9c5c75e6258ffac1c8","observation_id":"573627a4-97f3-409d-a805-ec0699049fe9","resolution":{"observed_at":"2026-08-15T22:36:17.010402Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T22:36:16.988192Z","title":"Separable reversible data hiding in encrypted jpeg bitstreams","venue":null,"work_id":"5b5d3bc4-328f-4b4a-a203-d99a6a6607ac","year":2016},"citing_paper":{"arxiv_id":"2505.06860","last_updated":"2025-05-11T06:11:10Z","snapshot_observed_at":"2026-08-15T22:28:52.167794Z","submitted_at":"2025-05-11T06:11:10Z","title":"DP-TRAE: A Dual-Phase Merging Transferable Reversible Adversarial Example for Image Privacy Protection","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-15T22:36:15.950907Z"},"links":{"citing_paper":"/paper/2505.06860"},"observation_digest":"sha256:0462e534ac251010bd9fbf87e47fa44b88b2f45eeaf8dd75119cd21b7a2b2807","observation_id":"10c2135f-2e09-42c3-8e74-98898e15fd5e","resolution":{"observed_at":"2026-08-15T22:36:16.993181Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T22:36:16.971720Z","title":"Dp-rae: A dual-phase merging reversible adversarial example for image privacy protection","venue":null,"work_id":"e37b8152-d5e1-443a-9e55-219378431004","year":2024},"citing_paper":{"arxiv_id":"2505.06860","last_updated":"2025-05-11T06:11:10Z","snapshot_observed_at":"2026-08-15T22:28:52.167794Z","submitted_at":"2025-05-11T06:11:10Z","title":"DP-TRAE: A Dual-Phase Merging Transferable Reversible Adversarial Example for Image Privacy Protection","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-15T22:36:15.956056Z"},"links":{"citing_paper":"/paper/2505.06860"},"observation_digest":"sha256:f1cd02f1c9a04c2ceb06604c1c64596186d42a886342be283b253c26c50ed66c","observation_id":"9388cbce-d44a-46c7-87f4-698cadeacba6","resolution":{"observed_at":"2026-08-15T22:36:16.976555Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1911.02360","last_updated":"2021-05-25T15:11:06Z","snapshot_observed_at":"2026-08-15T00:49:19.613749Z","submitted_at":"2019-11-06T13:15:32Z","title":"Reversible Adversarial Attack based on Reversible Image Transformation","version":7},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1911.02360","snapshot_observed_at":"2026-08-15T22:36:15.961204Z","title":"Reversible adversarial attack based on reversible image transformation","venue":null,"work_id":null,"year":1911},"citing_paper":{"arxiv_id":"2505.06860","last_updated":"2025-05-11T06:11:10Z","snapshot_observed_at":"2026-08-15T22:28:52.167794Z","submitted_at":"2025-05-11T06:11:10Z","title":"DP-TRAE: A Dual-Phase Merging Transferable Reversible Adversarial Example for Image Privacy Protection","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-15T22:36:15.961204Z"},"links":{"cited_paper":"/paper/1911.02360","citing_paper":"/paper/2505.06860"},"observation_digest":"sha256:cec90bda7e3f2db49a4aa8910b864f3b229bd2e4e8f7b53e76a804d314c43033","observation_id":"088bb903-acd3-4074-be90-e41b2915a241","resolution":{"observed_at":"2026-08-15T22:36:15.961204Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1412.6572","last_updated":"2015-03-20T20:19:16Z","snapshot_observed_at":"2026-08-12T17:13:46.394331Z","submitted_at":"2014-12-20T01:17:12Z","title":"Explaining and Harnessing Adversarial Examples","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1412.6572","snapshot_observed_at":"2026-08-15T22:36:15.966301Z","title":"Explaining and harnessing adversarial examples","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2505.06860","last_updated":"2025-05-11T06:11:10Z","snapshot_observed_at":"2026-08-15T22:28:52.167794Z","submitted_at":"2025-05-11T06:11:10Z","title":"DP-TRAE: A Dual-Phase Merging Transferable Reversible Adversarial Example for Image Privacy Protection","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-15T22:36:15.966301Z"},"links":{"cited_paper":"/paper/1412.6572","citing_paper":"/paper/2505.06860"},"observation_digest":"sha256:bd2d22e2b0e4cfceff1efc58a1e53c038f58791909adcfbe2898b0fea0271612","observation_id":"473ad6b0-79d1-4d7a-a43b-deac5728e644","resolution":{"observed_at":"2026-08-15T22:36:15.966301Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T22:36:15.971868Z","title":"Adversarial examples in the physical world","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2505.06860","last_updated":"2025-05-11T06:11:10Z","snapshot_observed_at":"2026-08-15T22:28:52.167794Z","submitted_at":"2025-05-11T06:11:10Z","title":"DP-TRAE: A Dual-Phase Merging Transferable Reversible Adversarial Example for Image Privacy Protection","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-15T22:36:15.971868Z"},"links":{"citing_paper":"/paper/2505.06860"},"observation_digest":"sha256:311d2175c903a21f39d1616a183954ae1c12642a80affdb057c885e8b47b21e1","observation_id":"5e2b6987-9749-4017-8f20-4a20810fea47","resolution":{"observed_at":"2026-08-15T22:36:15.971868Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T22:36:15.976699Z","title":"Boosting adversarial attacks with momentum","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2505.06860","last_updated":"2025-05-11T06:11:10Z","snapshot_observed_at":"2026-08-15T22:28:52.167794Z","submitted_at":"2025-05-11T06:11:10Z","title":"DP-TRAE: A Dual-Phase Merging Transferable Reversible Adversarial Example for Image Privacy Protection","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-15T22:36:15.976699Z"},"links":{"citing_paper":"/paper/2505.06860"},"observation_digest":"sha256:5dff0703fb2bd30d85ba242c9c0d24d32673445dd9a36a1591d88d9fc164fa51","observation_id":"1feafd2f-e94b-43ac-9bae-d843e3510bb8","resolution":{"observed_at":"2026-08-15T22:36:15.976699Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T22:36:16.930399Z","title":"Improving transferability of adversarial exam- ples with input diversity","venue":null,"work_id":"bbef206d-0fa9-4065-ad46-91f04d8f7d16","year":2019},"citing_paper":{"arxiv_id":"2505.06860","last_updated":"2025-05-11T06:11:10Z","snapshot_observed_at":"2026-08-15T22:28:52.167794Z","submitted_at":"2025-05-11T06:11:10Z","title":"DP-TRAE: A Dual-Phase Merging Transferable Reversible Adversarial Example for Image Privacy Protection","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-15T22:36:15.981240Z"},"links":{"citing_paper":"/paper/2505.06860"},"observation_digest":"sha256:20803ad8eec14dac7f2f88137f136bf4e04abf8c16f7c0138a695a70556078f7","observation_id":"068d5758-8f59-461e-be2b-9ccc36a887a7","resolution":{"observed_at":"2026-08-15T22:36:16.935457Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T22:36:16.913712Z","title":"Evading defenses to transferable adversarial examples by translation-invariant attacks","venue":null,"work_id":"08c972c2-d0e1-4ca5-ba78-df0ecec2db6f","year":2019},"citing_paper":{"arxiv_id":"2505.06860","last_updated":"2025-05-11T06:11:10Z","snapshot_observed_at":"2026-08-15T22:28:52.167794Z","submitted_at":"2025-05-11T06:11:10Z","title":"DP-TRAE: A Dual-Phase Merging Transferable Reversible Adversarial Example for Image Privacy Protection","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-15T22:36:15.985893Z"},"links":{"citing_paper":"/paper/2505.06860"},"observation_digest":"sha256:26f4e72346b8d58abb4949af16fd3249d9e2a11cb25151a3e8a9028c1f14fef7","observation_id":"5a793281-de96-419f-b1e7-6377be617fdd","resolution":{"observed_at":"2026-08-15T22:36:16.918927Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T22:36:16.898187Z","title":"Simple black-box adversarial attacks","venue":null,"work_id":"6706ffc9-3ab2-4c36-9507-d8c04d586976","year":2019},"citing_paper":{"arxiv_id":"2505.06860","last_updated":"2025-05-11T06:11:10Z","snapshot_observed_at":"2026-08-15T22:28:52.167794Z","submitted_at":"2025-05-11T06:11:10Z","title":"DP-TRAE: A Dual-Phase Merging Transferable Reversible Adversarial Example for Image Privacy Protection","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-15T22:36:15.990675Z"},"links":{"citing_paper":"/paper/2505.06860"},"observation_digest":"sha256:3124d6014c420355ebbb4f4354036a8f2f761ebb445d1c14a5292da05623b27b","observation_id":"0f7247b5-35cc-465a-98f5-c867ab31cf53","resolution":{"observed_at":"2026-08-15T22:36:16.903453Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T22:36:16.879285Z","title":"Surfree: a fast surrogate-free black-box attack","venue":null,"work_id":"9470b633-7127-48d1-b297-68901094a4b7","year":2021},"citing_paper":{"arxiv_id":"2505.06860","last_updated":"2025-05-11T06:11:10Z","snapshot_observed_at":"2026-08-15T22:28:52.167794Z","submitted_at":"2025-05-11T06:11:10Z","title":"DP-TRAE: A Dual-Phase Merging Transferable Reversible Adversarial Example for Image Privacy Protection","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-15T22:36:15.995711Z"},"links":{"citing_paper":"/paper/2505.06860"},"observation_digest":"sha256:74075bb8c3cd635073910ab7ba39f9ec7593645645121c5235a14d6eeedab31f","observation_id":"5f21676a-d472-44d2-95c2-3b658a209d44","resolution":{"observed_at":"2026-08-15T22:36:16.886307Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T22:36:16.860635Z","title":"Analysis of lsb based image steganography techniques","venue":null,"work_id":"6fce2790-edb0-421f-a47e-5de72a3a5069","year":2001},"citing_paper":{"arxiv_id":"2505.06860","last_updated":"2025-05-11T06:11:10Z","snapshot_observed_at":"2026-08-15T22:28:52.167794Z","submitted_at":"2025-05-11T06:11:10Z","title":"DP-TRAE: A Dual-Phase Merging Transferable Reversible Adversarial Example for Image Privacy Protection","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-15T22:36:16.001627Z"},"links":{"citing_paper":"/paper/2505.06860"},"observation_digest":"sha256:d50b3f94528f04fa0de0bccaa51f3099d3bbf2016fac835eebf5558704c77751","observation_id":"5994a41a-3178-4778-9944-e380aa6289c9","resolution":{"observed_at":"2026-08-15T22:36:16.867257Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T22:36:16.006459Z","title":"Digital watermarking and steganography","venue":null,"work_id":null,"year":2007},"citing_paper":{"arxiv_id":"2505.06860","last_updated":"2025-05-11T06:11:10Z","snapshot_observed_at":"2026-08-15T22:28:52.167794Z","submitted_at":"2025-05-11T06:11:10Z","title":"DP-TRAE: A Dual-Phase Merging Transferable Reversible Adversarial Example for Image Privacy Protection","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-15T22:36:16.006459Z"},"links":{"citing_paper":"/paper/2505.06860"},"observation_digest":"sha256:4ff1d8ff88a27bccc14f78265688112e122a4c944cb6c218a8beb1551ad3ede6","observation_id":"624c965a-5738-49b2-86b6-897f31e6b2b4","resolution":{"observed_at":"2026-08-15T22:36:16.006459Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T22:36:16.833083Z","title":"Reversible data hiding in color image with grayscale invariance","venue":null,"work_id":"67419e5e-4840-47f6-911b-eaee2a2fb3c6","year":2018},"citing_paper":{"arxiv_id":"2505.06860","last_updated":"2025-05-11T06:11:10Z","snapshot_observed_at":"2026-08-15T22:28:52.167794Z","submitted_at":"2025-05-11T06:11:10Z","title":"DP-TRAE: A Dual-Phase Merging Transferable Reversible Adversarial Example for Image Privacy Protection","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-15T22:36:16.011734Z"},"links":{"citing_paper":"/paper/2505.06860"},"observation_digest":"sha256:3196daba45839ccc94dcf5f81b678c51ed324075f3b885f50d57d3916fcc3db9","observation_id":"3a64314a-f698-4562-bea9-66fe7eeff0eb","resolution":{"observed_at":"2026-08-15T22:36:16.838750Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T22:36:16.815048Z","title":"Hinet: Deep image hiding by invertible network","venue":null,"work_id":"95bd9cef-ad20-48a7-a653-5d6d5bf593f3","year":2021},"citing_paper":{"arxiv_id":"2505.06860","last_updated":"2025-05-11T06:11:10Z","snapshot_observed_at":"2026-08-15T22:28:52.167794Z","submitted_at":"2025-05-11T06:11:10Z","title":"DP-TRAE: A Dual-Phase Merging Transferable Reversible Adversarial Example for Image Privacy Protection","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-15T22:36:16.016554Z"},"links":{"citing_paper":"/paper/2505.06860"},"observation_digest":"sha256:e7fe361856bb49a18dc69db3b823c700dd44803c8ddf2b1fec70ba33d3e051d2","observation_id":"8c4d136b-91f2-48a4-965c-3e7724a05ecc","resolution":{"observed_at":"2026-08-15T22:36:16.821561Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1807.09937","last_updated":"2018-07-26T03:25:15Z","snapshot_observed_at":"2026-08-14T18:47:38.659308Z","submitted_at":"2018-07-26T03:25:15Z","title":"HiDDeN: Hiding Data With Deep Networks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1807.09937","snapshot_observed_at":"2026-08-15T22:36:16.021404Z","title":"Hidden: hiding data with deep networks","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2505.06860","last_updated":"2025-05-11T06:11:10Z","snapshot_observed_at":"2026-08-15T22:28:52.167794Z","submitted_at":"2025-05-11T06:11:10Z","title":"DP-TRAE: A Dual-Phase Merging Transferable Reversible Adversarial Example for Image Privacy Protection","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-15T22:36:16.021404Z"},"links":{"cited_paper":"/paper/1807.09937","citing_paper":"/paper/2505.06860"},"observation_digest":"sha256:013c8fd5f5a4c26169ea3b8ccf565f037b39dde0a49e2c16aaec4f8726266272","observation_id":"0eb2dfc5-291d-487d-810d-33d7a94da8d9","resolution":{"observed_at":"2026-08-15T22:36:16.021404Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T22:36:16.026467Z","title":"Zoo: Zeroth order optimization based black-box attacks to deep neural networks without training substitute models","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2505.06860","last_updated":"2025-05-11T06:11:10Z","snapshot_observed_at":"2026-08-15T22:28:52.167794Z","submitted_at":"2025-05-11T06:11:10Z","title":"DP-TRAE: A Dual-Phase Merging Transferable Reversible Adversarial Example for Image Privacy Protection","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-15T22:36:16.026467Z"},"links":{"citing_paper":"/paper/2505.06860"},"observation_digest":"sha256:b76ba120feca55a9a16cc8bd6327b9e0368642d671b52350b55b4e34287c8129","observation_id":"9d8fdca3-83bf-40dd-afb7-eda80ad9ea53","resolution":{"observed_at":"2026-08-15T22:36:16.026467Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T22:36:16.031482Z","title":"Imagenet large scale visual recognition challenge","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2505.06860","last_updated":"2025-05-11T06:11:10Z","snapshot_observed_at":"2026-08-15T22:28:52.167794Z","submitted_at":"2025-05-11T06:11:10Z","title":"DP-TRAE: A Dual-Phase Merging Transferable Reversible Adversarial Example for Image Privacy Protection","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-15T22:36:16.031482Z"},"links":{"citing_paper":"/paper/2505.06860"},"observation_digest":"sha256:ae425a048ff3b4628a20257a9a9b047e18c0679e7386693eaa71b1c02fc75366","observation_id":"1360a969-cbe1-40fd-8436-38036efa7f77","resolution":{"observed_at":"2026-08-15T22:36:16.031482Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T22:36:16.036226Z","title":"Deep residual learning for image recognition","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2505.06860","last_updated":"2025-05-11T06:11:10Z","snapshot_observed_at":"2026-08-15T22:28:52.167794Z","submitted_at":"2025-05-11T06:11:10Z","title":"DP-TRAE: A Dual-Phase Merging Transferable Reversible Adversarial Example for Image Privacy Protection","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-15T22:36:16.036226Z"},"links":{"citing_paper":"/paper/2505.06860"},"observation_digest":"sha256:d9ddfa19b0ee9abb9335b842d6365964c05d56b8affd6336849ebb791a0c26e3","observation_id":"f30f106d-25a3-4cbb-8dc2-e84695c97a24","resolution":{"observed_at":"2026-08-15T22:36:16.036226Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T22:36:16.040954Z","title":"Densely connected convolutional networks","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2505.06860","last_updated":"2025-05-11T06:11:10Z","snapshot_observed_at":"2026-08-15T22:28:52.167794Z","submitted_at":"2025-05-11T06:11:10Z","title":"DP-TRAE: A Dual-Phase Merging Transferable Reversible Adversarial Example for Image Privacy Protection","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-15T22:36:16.040954Z"},"links":{"citing_paper":"/paper/2505.06860"},"observation_digest":"sha256:c99b402dfb643f7cc1be5d6940de8f2d1df723ed63a3772c339f31dbf2ef0b2b","observation_id":"bd8d0941-91fd-42d0-aac0-08b0870ba995","resolution":{"observed_at":"2026-08-15T22:36:16.040954Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1409.1556","last_updated":"2015-04-10T16:25:04Z","snapshot_observed_at":"2026-08-14T23:20:42.336514Z","submitted_at":"2014-09-04T19:48:04Z","title":"Very Deep Convolutional Networks for Large-Scale Image Recognition","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1409.1556","snapshot_observed_at":"2026-08-15T22:36:16.045715Z","title":"Very deep convolu- tional networks for large-scale image recognition","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2505.06860","last_updated":"2025-05-11T06:11:10Z","snapshot_observed_at":"2026-08-15T22:28:52.167794Z","submitted_at":"2025-05-11T06:11:10Z","title":"DP-TRAE: A Dual-Phase Merging Transferable Reversible Adversarial Example for Image Privacy Protection","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-15T22:36:16.045715Z"},"links":{"cited_paper":"/paper/1409.1556","citing_paper":"/paper/2505.06860"},"observation_digest":"sha256:409812cc89aa3c664fdbfcf789537ca8b71fe06890129090bd31444a9cf44d87","observation_id":"0d41abdd-7663-4d36-9a33-2d76d5eb2444","resolution":{"observed_at":"2026-08-15T22:36:16.045715Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T22:36:16.051319Z","title":"Rethinking the inception architecture for computer vision","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2505.06860","last_updated":"2025-05-11T06:11:10Z","snapshot_observed_at":"2026-08-15T22:28:52.167794Z","submitted_at":"2025-05-11T06:11:10Z","title":"DP-TRAE: A Dual-Phase Merging Transferable Reversible Adversarial Example for Image Privacy Protection","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-15T22:36:16.051319Z"},"links":{"citing_paper":"/paper/2505.06860"},"observation_digest":"sha256:0b4aa601707f94a9d7647d2914dc4ed320c417726b7f7464a46d73d146fc5921","observation_id":"2016dde0-987f-4945-a6ba-7cad58ed5f64","resolution":{"observed_at":"2026-08-15T22:36:16.051319Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T22:36:16.056317Z","title":"Imagenet classification with deep convolutional neural networks","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2505.06860","last_updated":"2025-05-11T06:11:10Z","snapshot_observed_at":"2026-08-15T22:28:52.167794Z","submitted_at":"2025-05-11T06:11:10Z","title":"DP-TRAE: A Dual-Phase Merging Transferable Reversible Adversarial Example for Image Privacy Protection","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-15T22:36:16.056317Z"},"links":{"citing_paper":"/paper/2505.06860"},"observation_digest":"sha256:c9fa1e8f2a95190b28730503d6c8134e5c55f89296d81ae4a61f4e185360ca45","observation_id":"93eb97b5-f78f-490d-a254-93368f99e989","resolution":{"observed_at":"2026-08-15T22:36:16.056317Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T22:36:16.062072Z","title":"Mobilenetv2: Inverted residuals and linear bottlenecks","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2505.06860","last_updated":"2025-05-11T06:11:10Z","snapshot_observed_at":"2026-08-15T22:28:52.167794Z","submitted_at":"2025-05-11T06:11:10Z","title":"DP-TRAE: A Dual-Phase Merging Transferable Reversible Adversarial Example for Image Privacy Protection","version":1},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-15T22:36:16.062072Z"},"links":{"citing_paper":"/paper/2505.06860"},"observation_digest":"sha256:94b0275c1b1cdd7826faf70e2c7217a7ab880cac52cafbd8588737560afbbec0","observation_id":"7c9e42ae-0045-457b-b536-800bf571f7ea","resolution":{"observed_at":"2026-08-15T22:36:16.062072Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T22:36:16.717329Z","title":"Searching for mobilenetv3","venue":null,"work_id":"2982f31b-83fb-49d3-a9b3-17b3af3fb36e","year":2019},"citing_paper":{"arxiv_id":"2505.06860","last_updated":"2025-05-11T06:11:10Z","snapshot_observed_at":"2026-08-15T22:28:52.167794Z","submitted_at":"2025-05-11T06:11:10Z","title":"DP-TRAE: A Dual-Phase Merging Transferable Reversible Adversarial Example for Image Privacy Protection","version":1},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-15T22:36:16.067066Z"},"links":{"citing_paper":"/paper/2505.06860"},"observation_digest":"sha256:b48f81da4638ea05ed547ce409024464038e80fcbe83f7293bfc6f76d714f07d","observation_id":"03249f2c-7830-4adf-82dc-9cac732bb155","resolution":{"observed_at":"2026-08-15T22:36:16.722888Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T22:36:16.072403Z","title":"Image quality assessment: from error visibility to structural similarity","venue":null,"work_id":null,"year":2004},"citing_paper":{"arxiv_id":"2505.06860","last_updated":"2025-05-11T06:11:10Z","snapshot_observed_at":"2026-08-15T22:28:52.167794Z","submitted_at":"2025-05-11T06:11:10Z","title":"DP-TRAE: A Dual-Phase Merging Transferable Reversible Adversarial Example for Image Privacy Protection","version":1},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-15T22:36:16.072403Z"},"links":{"citing_paper":"/paper/2505.06860"},"observation_digest":"sha256:61502eca8bbc892dd95c65dc0f36d02163274bd44ed564770f9075062f1b0fbe","observation_id":"3231a758-10b6-49de-bd52-9d630a170196","resolution":{"observed_at":"2026-08-15T22:36:16.072403Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1705.02900","last_updated":"2017-05-08T14:55:32Z","snapshot_observed_at":"2026-08-14T21:02:09.542332Z","submitted_at":"2017-05-08T14:55:32Z","title":"Keeping the Bad Guys Out: Protecting and Vaccinating Deep Learning with JPEG Compression","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1705.02900","snapshot_observed_at":"2026-08-15T22:36:16.077076Z","title":"Keeping the bad guys out: Protecting and vaccinating deep learning with jpeg compression","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2505.06860","last_updated":"2025-05-11T06:11:10Z","snapshot_observed_at":"2026-08-15T22:28:52.167794Z","submitted_at":"2025-05-11T06:11:10Z","title":"DP-TRAE: A Dual-Phase Merging Transferable Reversible Adversarial Example for Image Privacy Protection","version":1},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-15T22:36:16.077076Z"},"links":{"cited_paper":"/paper/1705.02900","citing_paper":"/paper/2505.06860"},"observation_digest":"sha256:f246408ebf071cc7f2c98b61e22234449f8f575ac4084d4c974fdefc72d00abe","observation_id":"16e20dcb-a845-4147-ac3e-c0ecbdd9b90e","resolution":{"observed_at":"2026-08-15T22:36:16.077076Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1711.01991","last_updated":"2018-02-28T22:39:15Z","snapshot_observed_at":"2026-08-14T20:16:33.101754Z","submitted_at":"2017-11-06T16:22:54Z","title":"Mitigating Adversarial Effects Through Randomization","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1711.01991","snapshot_observed_at":"2026-08-15T22:36:16.082384Z","title":"Mitigating adversarial effects through randomization","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2505.06860","last_updated":"2025-05-11T06:11:10Z","snapshot_observed_at":"2026-08-15T22:28:52.167794Z","submitted_at":"2025-05-11T06:11:10Z","title":"DP-TRAE: A Dual-Phase Merging Transferable Reversible Adversarial Example for Image Privacy Protection","version":1},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-08-15T22:36:16.082384Z"},"links":{"cited_paper":"/paper/1711.01991","citing_paper":"/paper/2505.06860"},"observation_digest":"sha256:657b35b2fe35ef60a8cb4edfaf19a7405869cc61b0f9f798ddceb92c16e99b80","observation_id":"fad9f37c-761e-42fa-aacb-1d5691cb72e6","resolution":{"observed_at":"2026-08-15T22:36:16.082384Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2003.07573","last_updated":"2020-03-17T08:11:18Z","snapshot_observed_at":"2026-08-08T21:13:45.912804Z","submitted_at":"2020-03-17T08:11:18Z","title":"Heat and Blur: An Effective and Fast Defense Against Adversarial Examples","version":1},"cited_work":{"arxiv_id":"2003.07573","doi":null,"metadata_source":"pith","pith_arxiv_id":"2003.07573","snapshot_observed_at":"2026-08-15T22:36:16.253602Z","title":"Heat and Blur: An Effective and Fast Defense Against Adversarial Examples","venue":"cs.CV","work_id":"cd31faaf-a251-4607-b3b4-95470c379e51","year":2020},"citing_paper":{"arxiv_id":"2505.06860","last_updated":"2025-05-11T06:11:10Z","snapshot_observed_at":"2026-08-15T22:28:52.167794Z","submitted_at":"2025-05-11T06:11:10Z","title":"DP-TRAE: A Dual-Phase Merging Transferable Reversible Adversarial Example for Image Privacy Protection","version":1},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-08-15T22:36:16.087603Z"},"links":{"cited_paper":"/paper/2003.07573","citing_paper":"/paper/2505.06860"},"observation_digest":"sha256:f333c9494db95c0014d78538656c76eec0b898478fd5c7ba3af5972a6f8b8dfd","observation_id":"0b4bb237-1bd0-49df-a345-193f7fc61309","resolution":{"observed_at":"2026-08-15T22:36:16.261488Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T22:36:16.687431Z","title":"Image super-resolution as a defense against adversarial attacks","venue":null,"work_id":"1f77ded0-a001-4d4f-9b35-4cbd9e471e92","year":2019},"citing_paper":{"arxiv_id":"2505.06860","last_updated":"2025-05-11T06:11:10Z","snapshot_observed_at":"2026-08-15T22:28:52.167794Z","submitted_at":"2025-05-11T06:11:10Z","title":"DP-TRAE: A Dual-Phase Merging Transferable Reversible Adversarial Example for Image Privacy Protection","version":1},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-08-15T22:36:16.093326Z"},"links":{"citing_paper":"/paper/2505.06860"},"observation_digest":"sha256:12d699496a470b435bcfa43f344ae143c8388cbbb02efe2cdebc5fd6bb6a0d78","observation_id":"ae687e66-3933-4aa7-ac57-34e73d154a2c","resolution":{"observed_at":"2026-08-15T22:36:16.693254Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.03624","last_updated":"2025-04-24T11:05:58Z","snapshot_observed_at":"2026-08-14T01:47:25.517085Z","submitted_at":"2024-08-07T08:34:48Z","title":"AgentsCoMerge: Large Language Model Empowered Collaborative Decision Making for Ramp Merging","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.03624","snapshot_observed_at":"2026-08-15T22:36:16.098105Z","title":"AgentsCoMerge: Large Language Model Empowered Collaborative Decision Making for Ramp Merging","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.06860","last_updated":"2025-05-11T06:11:10Z","snapshot_observed_at":"2026-08-15T22:28:52.167794Z","submitted_at":"2025-05-11T06:11:10Z","title":"DP-TRAE: A Dual-Phase Merging Transferable Reversible Adversarial Example for Image Privacy Protection","version":1},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-08-15T22:36:16.098105Z"},"links":{"cited_paper":"/paper/2408.03624","citing_paper":"/paper/2505.06860"},"observation_digest":"sha256:e9f9476a49cf4bcb4564f6d25c62d7784390abf1114edb5944684af867021ad6","observation_id":"a0561f23-3b03-41a3-9f8d-4ac27b3651b6","resolution":{"observed_at":"2026-08-15T22:36:16.098105Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2505.02795","last_updated":"2025-05-05T17:09:19Z","snapshot_observed_at":"2026-08-16T00:38:15.941090Z","submitted_at":"2025-05-05T17:09:19Z","title":"HSplitLoRA: A Heterogeneous Split Parameter-Efficient Fine-Tuning Framework for Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.02795","snapshot_observed_at":"2026-08-15T22:36:16.103220Z","title":"HSplitLoRA: A Heterogeneous Split Parameter-Efficient Fine-Tuning Framework for Large Language Models","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.06860","last_updated":"2025-05-11T06:11:10Z","snapshot_observed_at":"2026-08-15T22:28:52.167794Z","submitted_at":"2025-05-11T06:11:10Z","title":"DP-TRAE: A Dual-Phase Merging Transferable Reversible Adversarial Example for Image Privacy Protection","version":1},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-08-15T22:36:16.103220Z"},"links":{"cited_paper":"/paper/2505.02795","citing_paper":"/paper/2505.06860"},"observation_digest":"sha256:0303baf59842c24b224dbf78795d10516a21e918442ce05b59c5df382c54c739","observation_id":"ceedc33b-4881-423c-a81a-1212051acc88","resolution":{"observed_at":"2026-08-15T22:36:16.103220Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.16460","last_updated":"2024-03-29T08:46:16Z","snapshot_observed_at":"2026-08-14T14:37:18.926070Z","submitted_at":"2024-03-25T06:43:28Z","title":"FedAC: An Adaptive Clustered Federated Learning Framework for Heterogeneous Data","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.16460","snapshot_observed_at":"2026-08-15T22:36:16.109278Z","title":"FedAC: A Adaptive Clustered Federated Learning Framework for Heterogeneous Data","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.06860","last_updated":"2025-05-11T06:11:10Z","snapshot_observed_at":"2026-08-15T22:28:52.167794Z","submitted_at":"2025-05-11T06:11:10Z","title":"DP-TRAE: A Dual-Phase Merging Transferable Reversible Adversarial Example for Image Privacy Protection","version":1},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-08-15T22:36:16.109278Z"},"links":{"cited_paper":"/paper/2403.16460","citing_paper":"/paper/2505.06860"},"observation_digest":"sha256:960c85303a266392daee003d0b0b3cb9a4967e3aa582e30bd6bda66e8e899236","observation_id":"bc14ac88-3b28-4f03-84d4-3482923eb544","resolution":{"observed_at":"2026-08-15T22:36:16.109278Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2501.01293","last_updated":"2025-01-02T15:19:16Z","snapshot_observed_at":"2026-08-13T23:42:31.607105Z","submitted_at":"2025-01-02T15:19:16Z","title":"LEO-Split: A Semi-Supervised Split Learning Framework over LEO Satellite Networks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.01293","snapshot_observed_at":"2026-08-15T22:36:16.114482Z","title":"Leo-Split: A Semi-Supervised Split Learning Framework over LEO Satellite Networks","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.06860","last_updated":"2025-05-11T06:11:10Z","snapshot_observed_at":"2026-08-15T22:28:52.167794Z","submitted_at":"2025-05-11T06:11:10Z","title":"DP-TRAE: A Dual-Phase Merging Transferable Reversible Adversarial Example for Image Privacy Protection","version":1},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-08-15T22:36:16.114482Z"},"links":{"cited_paper":"/paper/2501.01293","citing_paper":"/paper/2505.06860"},"observation_digest":"sha256:f6eee4b92d98b1c5d14b4e5c6e3536bdb91ee4b8ee11c1e013edfa30758c33f1","observation_id":"1224fdf6-ab23-4e2b-9a88-fabba31ae5c4","resolution":{"observed_at":"2026-08-15T22:36:16.114482Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.13503","last_updated":"2024-11-21T06:56:49Z","snapshot_observed_at":"2026-08-14T01:47:01.999543Z","submitted_at":"2024-09-20T13:44:00Z","title":"SatFed: A Resource-Efficient LEO Satellite-Assisted Heterogeneous Federated Learning Framework","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.13503","snapshot_observed_at":"2026-08-15T22:36:16.119492Z","title":"SatFed: A Resource-Efficient LEO Satellite-Assisted Heterogeneous Federated Learning Framework","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.06860","last_updated":"2025-05-11T06:11:10Z","snapshot_observed_at":"2026-08-15T22:28:52.167794Z","submitted_at":"2025-05-11T06:11:10Z","title":"DP-TRAE: A Dual-Phase Merging Transferable Reversible Adversarial Example for Image Privacy Protection","version":1},"reference_index":74,"source":"pdf_text","source_observed_at":"2026-08-15T22:36:16.119492Z"},"links":{"cited_paper":"/paper/2409.13503","citing_paper":"/paper/2505.06860"},"observation_digest":"sha256:133d845424fc63cdcccbc57389f748f2f6362240d5b5872d0880720675b1f620","observation_id":"35e6be90-28c1-4e4b-8c76-9c7cd1026ee5","resolution":{"observed_at":"2026-08-15T22:36:16.119492Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2505.06860","last_updated":"2025-05-11T06:11:10Z","latest_version":1,"primary_category":"cs.CR","snapshot_observed_at":"2026-08-15T22:28:52.167794Z","submitted_at":"2025-05-11T06:11:10Z","title":"DP-TRAE: A Dual-Phase Merging Transferable Reversible Adversarial Example for Image Privacy Protection"},"reference_resolution":{"displayed":74,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":33,"verified_exact":1,"verified_fuzzy":40},"total_outbound_references":74},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"thesis":"As of 16 August 2026, this Paper Citation Record lists 74 of 74 outbound references and 0 inbound Pith citation observations for arXiv:2505.06860."}