{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:UTMHYKGDJARDKGP74IF3ZAJIFK","short_pith_number":"pith:UTMHYKGD","canonical_record":{"source":{"id":"2010.13773","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-10-26T17:59:07Z","cross_cats_sorted":[],"title_canon_sha256":"25e4dd011458df460d210c39957fc37925ce786c85359d700294135785f2c652","abstract_canon_sha256":"46f68448a03c222508f2cdba5c64a8620f99dfec836819ddad3fbe167a5d6890"},"schema_version":"1.0"},"canonical_sha256":"a4d87c28c348223519ffe20bbc81282a84ddf6ad17eebbc680234cd804a68877","source":{"kind":"arxiv","id":"2010.13773","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2010.13773","created_at":"2026-07-05T01:47:10Z"},{"alias_kind":"arxiv_version","alias_value":"2010.13773v1","created_at":"2026-07-05T01:47:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2010.13773","created_at":"2026-07-05T01:47:10Z"},{"alias_kind":"pith_short_12","alias_value":"UTMHYKGDJARD","created_at":"2026-07-05T01:47:10Z"},{"alias_kind":"pith_short_16","alias_value":"UTMHYKGDJARDKGP7","created_at":"2026-07-05T01:47:10Z"},{"alias_kind":"pith_short_8","alias_value":"UTMHYKGD","created_at":"2026-07-05T01:47:10Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:UTMHYKGDJARDKGP74IF3ZAJIFK","target":"record","payload":{"canonical_record":{"source":{"id":"2010.13773","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-10-26T17:59:07Z","cross_cats_sorted":[],"title_canon_sha256":"25e4dd011458df460d210c39957fc37925ce786c85359d700294135785f2c652","abstract_canon_sha256":"46f68448a03c222508f2cdba5c64a8620f99dfec836819ddad3fbe167a5d6890"},"schema_version":"1.0"},"canonical_sha256":"a4d87c28c348223519ffe20bbc81282a84ddf6ad17eebbc680234cd804a68877","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T01:47:10.150478Z","signature_b64":"hl0+YqPiFgq6r4aKtuF4E4o56X2JD4M/arBtbXiFnbxWMdBe1DzXZoTM5pfSrkEppOnbZ+NV1a7wJSkyON0WBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a4d87c28c348223519ffe20bbc81282a84ddf6ad17eebbc680234cd804a68877","last_reissued_at":"2026-07-05T01:47:10.150055Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T01:47:10.150055Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2010.13773","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T01:47:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qj5wOe5XRtOKCjvtgDvd+EjjrpIgzTQKLc0f0fCVCCMMxbU2SHSjkfBWnb3/H9lK+dc8MyyJdVLmvQnNvwS7DQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T06:50:41.068990Z"},"content_sha256":"4b2a6bf54720cd346239e3f13bc8b7f26b59890a7935a86de35962d7d4cf75d2","schema_version":"1.0","event_id":"sha256:4b2a6bf54720cd346239e3f13bc8b7f26b59890a7935a86de35962d7d4cf75d2"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:UTMHYKGDJARDKGP74IF3ZAJIFK","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"GreedyFool: Distortion-Aware Sparse Adversarial Attack","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Chuan Qin, Dong Chen, Dongdong Chen, Jianmin Bao, Lu Yuan, Nenghai Yu, Weiming Zhang, Xiaoyi Dong","submitted_at":"2020-10-26T17:59:07Z","abstract_excerpt":"Modern deep neural networks(DNNs) are vulnerable to adversarial samples. Sparse adversarial samples are a special branch of adversarial samples that can fool the target model by only perturbing a few pixels. The existence of the sparse adversarial attack points out that DNNs are much more vulnerable than people believed, which is also a new aspect for analyzing DNNs. However, current sparse adversarial attack methods still have some shortcomings on both sparsity and invisibility. In this paper, we propose a novel two-stage distortion-aware greedy-based method dubbed as \"GreedyFool\". Specifical"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2010.13773","kind":"arxiv","version":1},"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/2010.13773/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":"2026-07-05T01:47:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"CqJTIe+vyRAG5qnxeFYzXPuda+MVM6cfU1osms0aUf0FoE1B6zT4zM8sec9IHAKePNQNV8OLmmNvk0OnorSXCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T06:50:41.069618Z"},"content_sha256":"3bdcbb0e20ea0d7953b9edae81c72807b314fcc3d392f3bb9410f0001be68b86","schema_version":"1.0","event_id":"sha256:3bdcbb0e20ea0d7953b9edae81c72807b314fcc3d392f3bb9410f0001be68b86"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/UTMHYKGDJARDKGP74IF3ZAJIFK/bundle.json","state_url":"https://pith.science/pith/UTMHYKGDJARDKGP74IF3ZAJIFK/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/UTMHYKGDJARDKGP74IF3ZAJIFK/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":"2026-08-09T06:50:41Z","links":{"resolver":"https://pith.science/pith/UTMHYKGDJARDKGP74IF3ZAJIFK","bundle":"https://pith.science/pith/UTMHYKGDJARDKGP74IF3ZAJIFK/bundle.json","state":"https://pith.science/pith/UTMHYKGDJARDKGP74IF3ZAJIFK/state.json","well_known_bundle":"https://pith.science/.well-known/pith/UTMHYKGDJARDKGP74IF3ZAJIFK/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:UTMHYKGDJARDKGP74IF3ZAJIFK","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":"46f68448a03c222508f2cdba5c64a8620f99dfec836819ddad3fbe167a5d6890","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-10-26T17:59:07Z","title_canon_sha256":"25e4dd011458df460d210c39957fc37925ce786c85359d700294135785f2c652"},"schema_version":"1.0","source":{"id":"2010.13773","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2010.13773","created_at":"2026-07-05T01:47:10Z"},{"alias_kind":"arxiv_version","alias_value":"2010.13773v1","created_at":"2026-07-05T01:47:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2010.13773","created_at":"2026-07-05T01:47:10Z"},{"alias_kind":"pith_short_12","alias_value":"UTMHYKGDJARD","created_at":"2026-07-05T01:47:10Z"},{"alias_kind":"pith_short_16","alias_value":"UTMHYKGDJARDKGP7","created_at":"2026-07-05T01:47:10Z"},{"alias_kind":"pith_short_8","alias_value":"UTMHYKGD","created_at":"2026-07-05T01:47:10Z"}],"graph_snapshots":[{"event_id":"sha256:3bdcbb0e20ea0d7953b9edae81c72807b314fcc3d392f3bb9410f0001be68b86","target":"graph","created_at":"2026-07-05T01:47:10Z","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/2010.13773/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Modern deep neural networks(DNNs) are vulnerable to adversarial samples. Sparse adversarial samples are a special branch of adversarial samples that can fool the target model by only perturbing a few pixels. The existence of the sparse adversarial attack points out that DNNs are much more vulnerable than people believed, which is also a new aspect for analyzing DNNs. However, current sparse adversarial attack methods still have some shortcomings on both sparsity and invisibility. In this paper, we propose a novel two-stage distortion-aware greedy-based method dubbed as \"GreedyFool\". Specifical","authors_text":"Chuan Qin, Dong Chen, Dongdong Chen, Jianmin Bao, Lu Yuan, Nenghai Yu, Weiming Zhang, Xiaoyi Dong","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-10-26T17:59:07Z","title":"GreedyFool: Distortion-Aware Sparse Adversarial Attack"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2010.13773","kind":"arxiv","version":1},"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":"sha256:4b2a6bf54720cd346239e3f13bc8b7f26b59890a7935a86de35962d7d4cf75d2","target":"record","created_at":"2026-07-05T01:47:10Z","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":"46f68448a03c222508f2cdba5c64a8620f99dfec836819ddad3fbe167a5d6890","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-10-26T17:59:07Z","title_canon_sha256":"25e4dd011458df460d210c39957fc37925ce786c85359d700294135785f2c652"},"schema_version":"1.0","source":{"id":"2010.13773","kind":"arxiv","version":1}},"canonical_sha256":"a4d87c28c348223519ffe20bbc81282a84ddf6ad17eebbc680234cd804a68877","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a4d87c28c348223519ffe20bbc81282a84ddf6ad17eebbc680234cd804a68877","first_computed_at":"2026-07-05T01:47:10.150055Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:47:10.150055Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"hl0+YqPiFgq6r4aKtuF4E4o56X2JD4M/arBtbXiFnbxWMdBe1DzXZoTM5pfSrkEppOnbZ+NV1a7wJSkyON0WBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T01:47:10.150478Z","signed_message":"canonical_sha256_bytes"},"source_id":"2010.13773","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4b2a6bf54720cd346239e3f13bc8b7f26b59890a7935a86de35962d7d4cf75d2","sha256:3bdcbb0e20ea0d7953b9edae81c72807b314fcc3d392f3bb9410f0001be68b86"],"state_sha256":"bb8bd5711bd08ec8f05ac22c1802c7ba71c1de870e622809b2cdddc5d5e1b4ee"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"sXjKTbVEHP3+YnqjWYiEASitzKugtDFGXbH5iUadJ7mn7iQ0iO6i2N9ixPrk646pSIhD3QmpmwsUe/QBTaBECw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T06:50:41.073805Z","bundle_sha256":"6f6e044da8ad032dd40d37ad63872004177df30440b7ae3e6bed865769503b71"}}