{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2020:GTVTRGYWAQY3QSPCHIL7MRNJFA","short_pith_number":"pith:GTVTRGYW","schema_version":"1.0","canonical_sha256":"34eb389b160431b849e23a17f645a9280b1bf3ac803ee08a7483f69a44f20051","source":{"kind":"arxiv","id":"2004.13799","version":1},"attestation_state":"computed","paper":{"title":"Minority Reports Defense: Defending Against Adversarial Patches","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CR","cs.CV","stat.ML"],"primary_cat":"cs.LG","authors_text":"David Wagner, Jason Xinyu Liu, Michael McCoyd, Minjune Hwang, Neil Shah, Ryan Roggenkemper, Steven Chen, Won Park","submitted_at":"2020-04-28T20:11:18Z","abstract_excerpt":"Deep learning image classification is vulnerable to adversarial attack, even if the attacker changes just a small patch of the image. We propose a defense against patch attacks based on partially occluding the image around each candidate patch location, so that a few occlusions each completely hide the patch. We demonstrate on CIFAR-10, Fashion MNIST, and MNIST that our defense provides certified security against patch attacks of a certain size."},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2004.13799","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-04-28T20:11:18Z","cross_cats_sorted":["cs.CR","cs.CV","stat.ML"],"title_canon_sha256":"d71817266f0a822604de1b9e31e476799c01bcbe2de5dcde966c4f22390fd339","abstract_canon_sha256":"eb19497361841e1bb7dbf3496bfcc13fb6ba012a9fbdbc9bd67f69cb16319b10"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T00:59:04.223332Z","signature_b64":"DfeMy4rmtWRrEGXVMfvUhDCufoY/o+Tkanp+CoydAKaUOPWJIcc4A7rxczlZAzi+0wJQ/RLUQvX+WOdAkCU3BA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"34eb389b160431b849e23a17f645a9280b1bf3ac803ee08a7483f69a44f20051","last_reissued_at":"2026-07-05T00:59:04.222943Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T00:59:04.222943Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Minority Reports Defense: Defending Against Adversarial Patches","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CR","cs.CV","stat.ML"],"primary_cat":"cs.LG","authors_text":"David Wagner, Jason Xinyu Liu, Michael McCoyd, Minjune Hwang, Neil Shah, Ryan Roggenkemper, Steven Chen, Won Park","submitted_at":"2020-04-28T20:11:18Z","abstract_excerpt":"Deep learning image classification is vulnerable to adversarial attack, even if the attacker changes just a small patch of the image. We propose a defense against patch attacks based on partially occluding the image around each candidate patch location, so that a few occlusions each completely hide the patch. We demonstrate on CIFAR-10, Fashion MNIST, and MNIST that our defense provides certified security against patch attacks of a certain size."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2004.13799","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/2004.13799/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2004.13799","created_at":"2026-07-05T00:59:04.222999+00:00"},{"alias_kind":"arxiv_version","alias_value":"2004.13799v1","created_at":"2026-07-05T00:59:04.222999+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2004.13799","created_at":"2026-07-05T00:59:04.222999+00:00"},{"alias_kind":"pith_short_12","alias_value":"GTVTRGYWAQY3","created_at":"2026-07-05T00:59:04.222999+00:00"},{"alias_kind":"pith_short_16","alias_value":"GTVTRGYWAQY3QSPC","created_at":"2026-07-05T00:59:04.222999+00:00"},{"alias_kind":"pith_short_8","alias_value":"GTVTRGYW","created_at":"2026-07-05T00:59:04.222999+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/GTVTRGYWAQY3QSPCHIL7MRNJFA","json":"https://pith.science/pith/GTVTRGYWAQY3QSPCHIL7MRNJFA.json","graph_json":"https://pith.science/api/pith-number/GTVTRGYWAQY3QSPCHIL7MRNJFA/graph.json","events_json":"https://pith.science/api/pith-number/GTVTRGYWAQY3QSPCHIL7MRNJFA/events.json","paper":"https://pith.science/paper/GTVTRGYW"},"agent_actions":{"view_html":"https://pith.science/pith/GTVTRGYWAQY3QSPCHIL7MRNJFA","download_json":"https://pith.science/pith/GTVTRGYWAQY3QSPCHIL7MRNJFA.json","view_paper":"https://pith.science/paper/GTVTRGYW","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2004.13799&json=true","fetch_graph":"https://pith.science/api/pith-number/GTVTRGYWAQY3QSPCHIL7MRNJFA/graph.json","fetch_events":"https://pith.science/api/pith-number/GTVTRGYWAQY3QSPCHIL7MRNJFA/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/GTVTRGYWAQY3QSPCHIL7MRNJFA/action/timestamp_anchor","attest_storage":"https://pith.science/pith/GTVTRGYWAQY3QSPCHIL7MRNJFA/action/storage_attestation","attest_author":"https://pith.science/pith/GTVTRGYWAQY3QSPCHIL7MRNJFA/action/author_attestation","sign_citation":"https://pith.science/pith/GTVTRGYWAQY3QSPCHIL7MRNJFA/action/citation_signature","submit_replication":"https://pith.science/pith/GTVTRGYWAQY3QSPCHIL7MRNJFA/action/replication_record"}},"created_at":"2026-07-05T00:59:04.222999+00:00","updated_at":"2026-07-05T00:59:04.222999+00:00"}