{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:GZ5GRRWQJDSUHOVMGRHX4YLJ6R","short_pith_number":"pith:GZ5GRRWQ","canonical_record":{"source":{"id":"2501.18934","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CR","submitted_at":"2025-01-31T07:32:12Z","cross_cats_sorted":[],"title_canon_sha256":"bb639f325b42e7ef66c046e0a1417b4ad81d0cc32dbb1c82ac65123cf057a928","abstract_canon_sha256":"7000179c06b36a0bcade882e225d0c07b3a0e091d4d494c89c69f3644c744a84"},"schema_version":"1.0"},"canonical_sha256":"367a68c6d048e543baac344f7e6169f47e5948c435c6027c5c08c2074ff46ff8","source":{"kind":"arxiv","id":"2501.18934","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.18934","created_at":"2026-07-05T10:56:14Z"},{"alias_kind":"arxiv_version","alias_value":"2501.18934v2","created_at":"2026-07-05T10:56:14Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.18934","created_at":"2026-07-05T10:56:14Z"},{"alias_kind":"pith_short_12","alias_value":"GZ5GRRWQJDSU","created_at":"2026-07-05T10:56:14Z"},{"alias_kind":"pith_short_16","alias_value":"GZ5GRRWQJDSUHOVM","created_at":"2026-07-05T10:56:14Z"},{"alias_kind":"pith_short_8","alias_value":"GZ5GRRWQ","created_at":"2026-07-05T10:56:14Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:GZ5GRRWQJDSUHOVMGRHX4YLJ6R","target":"record","payload":{"canonical_record":{"source":{"id":"2501.18934","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CR","submitted_at":"2025-01-31T07:32:12Z","cross_cats_sorted":[],"title_canon_sha256":"bb639f325b42e7ef66c046e0a1417b4ad81d0cc32dbb1c82ac65123cf057a928","abstract_canon_sha256":"7000179c06b36a0bcade882e225d0c07b3a0e091d4d494c89c69f3644c744a84"},"schema_version":"1.0"},"canonical_sha256":"367a68c6d048e543baac344f7e6169f47e5948c435c6027c5c08c2074ff46ff8","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:56:14.118994Z","signature_b64":"loSE5LyJzUa8T5D13ul8GouqJsAsrMO1EID1Mo0qGzZa7ELZHUGVFus3tttcT1l1O+qbOIa7j9EFl8380U3LCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"367a68c6d048e543baac344f7e6169f47e5948c435c6027c5c08c2074ff46ff8","last_reissued_at":"2026-07-05T10:56:14.118518Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:56:14.118518Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2501.18934","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T10:56:14Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"AfnFlyzqvXebhpX/1d0jkQSDq/Wc27ZDL0O5WZSre+qpgORIX4dGU/V4eYR2n/D2ICS2rAjX7Y9g3ue/+BCnDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T12:42:57.984476Z"},"content_sha256":"91d4d630cd28652a3450d188586f486cffe006a78ef33d7f3b555f2d4578b39b","schema_version":"1.0","event_id":"sha256:91d4d630cd28652a3450d188586f486cffe006a78ef33d7f3b555f2d4578b39b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:GZ5GRRWQJDSUHOVMGRHX4YLJ6R","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Deep Learning Model Inversion Attacks and Defenses: A Comprehensive Survey","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CR","authors_text":"Di Wu, Shicheng Wei, Song Wang, Taotao Cai, Wencheng Yang, Xu Yang, Yan Li, Yanming Zhu, Yiying Zhang, Zhaohui Tang","submitted_at":"2025-01-31T07:32:12Z","abstract_excerpt":"The rapid adoption of deep learning in sensitive domains has brought tremendous benefits. However, this widespread adoption has also given rise to serious vulnerabilities, particularly model inversion (MI) attacks, posing a significant threat to the privacy and integrity of personal data. The increasing prevalence of these attacks in applications such as biometrics, healthcare, and finance has created an urgent need to understand their mechanisms, impacts, and defense methods. This survey aims to fill the gap in the literature by providing a structured and in-depth review of MI attacks and def"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.18934","kind":"arxiv","version":2},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2501.18934/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T10:56:14Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4Teh1MMfQxuCA85m1DGA9S2mV+MBmKjqsjgZ9AQLTjCveUr6WhECpVdQr3AkV87C7kasV22SR7yJ2bcNLczVDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T12:42:57.985415Z"},"content_sha256":"ab7f0eae42584fadab6808df6fb56370e62132e15a7512ee3d8af38899008faf","schema_version":"1.0","event_id":"sha256:ab7f0eae42584fadab6808df6fb56370e62132e15a7512ee3d8af38899008faf"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/GZ5GRRWQJDSUHOVMGRHX4YLJ6R/bundle.json","state_url":"https://pith.science/pith/GZ5GRRWQJDSUHOVMGRHX4YLJ6R/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/GZ5GRRWQJDSUHOVMGRHX4YLJ6R/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-04T12:42:57Z","links":{"resolver":"https://pith.science/pith/GZ5GRRWQJDSUHOVMGRHX4YLJ6R","bundle":"https://pith.science/pith/GZ5GRRWQJDSUHOVMGRHX4YLJ6R/bundle.json","state":"https://pith.science/pith/GZ5GRRWQJDSUHOVMGRHX4YLJ6R/state.json","well_known_bundle":"https://pith.science/.well-known/pith/GZ5GRRWQJDSUHOVMGRHX4YLJ6R/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:GZ5GRRWQJDSUHOVMGRHX4YLJ6R","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"7000179c06b36a0bcade882e225d0c07b3a0e091d4d494c89c69f3644c744a84","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CR","submitted_at":"2025-01-31T07:32:12Z","title_canon_sha256":"bb639f325b42e7ef66c046e0a1417b4ad81d0cc32dbb1c82ac65123cf057a928"},"schema_version":"1.0","source":{"id":"2501.18934","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.18934","created_at":"2026-07-05T10:56:14Z"},{"alias_kind":"arxiv_version","alias_value":"2501.18934v2","created_at":"2026-07-05T10:56:14Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.18934","created_at":"2026-07-05T10:56:14Z"},{"alias_kind":"pith_short_12","alias_value":"GZ5GRRWQJDSU","created_at":"2026-07-05T10:56:14Z"},{"alias_kind":"pith_short_16","alias_value":"GZ5GRRWQJDSUHOVM","created_at":"2026-07-05T10:56:14Z"},{"alias_kind":"pith_short_8","alias_value":"GZ5GRRWQ","created_at":"2026-07-05T10:56:14Z"}],"graph_snapshots":[{"event_id":"sha256:ab7f0eae42584fadab6808df6fb56370e62132e15a7512ee3d8af38899008faf","target":"graph","created_at":"2026-07-05T10:56:14Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2501.18934/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The rapid adoption of deep learning in sensitive domains has brought tremendous benefits. However, this widespread adoption has also given rise to serious vulnerabilities, particularly model inversion (MI) attacks, posing a significant threat to the privacy and integrity of personal data. The increasing prevalence of these attacks in applications such as biometrics, healthcare, and finance has created an urgent need to understand their mechanisms, impacts, and defense methods. This survey aims to fill the gap in the literature by providing a structured and in-depth review of MI attacks and def","authors_text":"Di Wu, Shicheng Wei, Song Wang, Taotao Cai, Wencheng Yang, Xu Yang, Yan Li, Yanming Zhu, Yiying Zhang, Zhaohui Tang","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CR","submitted_at":"2025-01-31T07:32:12Z","title":"Deep Learning Model Inversion Attacks and Defenses: A Comprehensive Survey"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.18934","kind":"arxiv","version":2},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:91d4d630cd28652a3450d188586f486cffe006a78ef33d7f3b555f2d4578b39b","target":"record","created_at":"2026-07-05T10:56:14Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"7000179c06b36a0bcade882e225d0c07b3a0e091d4d494c89c69f3644c744a84","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CR","submitted_at":"2025-01-31T07:32:12Z","title_canon_sha256":"bb639f325b42e7ef66c046e0a1417b4ad81d0cc32dbb1c82ac65123cf057a928"},"schema_version":"1.0","source":{"id":"2501.18934","kind":"arxiv","version":2}},"canonical_sha256":"367a68c6d048e543baac344f7e6169f47e5948c435c6027c5c08c2074ff46ff8","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"367a68c6d048e543baac344f7e6169f47e5948c435c6027c5c08c2074ff46ff8","first_computed_at":"2026-07-05T10:56:14.118518Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:56:14.118518Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"loSE5LyJzUa8T5D13ul8GouqJsAsrMO1EID1Mo0qGzZa7ELZHUGVFus3tttcT1l1O+qbOIa7j9EFl8380U3LCA==","signature_status":"signed_v1","signed_at":"2026-07-05T10:56:14.118994Z","signed_message":"canonical_sha256_bytes"},"source_id":"2501.18934","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:91d4d630cd28652a3450d188586f486cffe006a78ef33d7f3b555f2d4578b39b","sha256:ab7f0eae42584fadab6808df6fb56370e62132e15a7512ee3d8af38899008faf"],"state_sha256":"3a7bddb94bee367285067130dd830962e921915ca9bc7a66f844a83964810275"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"i0pU0GlrvpzdaT9wgxwbCmTO1eDsUE1zOsUkulUHzvUqB2F1mG8AcwpGohAgSJfuOtd96jK9g6WdUiVvlpr6BA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-04T12:42:57.997727Z","bundle_sha256":"d3a396dd1871ac109f77e168269f3450f163fe91c9066f58061e07162a72fc00"}}