{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:PKWXLRHIUUZFXZKGXSZMJM3ICJ","short_pith_number":"pith:PKWXLRHI","schema_version":"1.0","canonical_sha256":"7aad75c4e8a5325be546bcb2c4b368126c79a996c32ebfcc5068782b80f39e74","source":{"kind":"arxiv","id":"2505.18097","version":1},"attestation_state":"computed","paper":{"title":"Towards more transferable adversarial attack in black-box manner","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"cs.LG","authors_text":"Chun Pong Lau, Chun Tong Lei, Hon Chung Lee, Minh Quoc Duong, Zhongliang Guo","submitted_at":"2025-05-23T16:49:20Z","abstract_excerpt":"Adversarial attacks have become a well-explored domain, frequently serving as evaluation baselines for model robustness. Among these, black-box attacks based on transferability have received significant attention due to their practical applicability in real-world scenarios. Traditional black-box methods have generally focused on improving the optimization framework (e.g., utilizing momentum in MI-FGSM) to enhance transferability, rather than examining the dependency on surrogate white-box model architectures. Recent state-of-the-art approach DiffPGD has demonstrated enhanced transferability by"},"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":"2505.18097","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-05-23T16:49:20Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"dc951b37d6e7d0556d9b0a69c04cf44dae8f3548e2be5a7318d88d9a07570161","abstract_canon_sha256":"5b9c61a9fb4aa4523eabbf1ef5cc1a135b4a54959910dfc60eafd8ab83ffc38d"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:08:36.583537Z","signature_b64":"o6ka6LPKPpoZ7WozEmMZOpQgrhSUshH1UZfewnFUXX++d6FO9n+GIjJw3fuW+qBuGtKR/ZAeC0S8ujzCN6AqBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7aad75c4e8a5325be546bcb2c4b368126c79a996c32ebfcc5068782b80f39e74","last_reissued_at":"2026-07-05T11:08:36.583082Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:08:36.583082Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Towards more transferable adversarial attack in black-box manner","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"cs.LG","authors_text":"Chun Pong Lau, Chun Tong Lei, Hon Chung Lee, Minh Quoc Duong, Zhongliang Guo","submitted_at":"2025-05-23T16:49:20Z","abstract_excerpt":"Adversarial attacks have become a well-explored domain, frequently serving as evaluation baselines for model robustness. Among these, black-box attacks based on transferability have received significant attention due to their practical applicability in real-world scenarios. Traditional black-box methods have generally focused on improving the optimization framework (e.g., utilizing momentum in MI-FGSM) to enhance transferability, rather than examining the dependency on surrogate white-box model architectures. Recent state-of-the-art approach DiffPGD has demonstrated enhanced transferability by"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.18097","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/2505.18097/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":"2505.18097","created_at":"2026-07-05T11:08:36.583137+00:00"},{"alias_kind":"arxiv_version","alias_value":"2505.18097v1","created_at":"2026-07-05T11:08:36.583137+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.18097","created_at":"2026-07-05T11:08:36.583137+00:00"},{"alias_kind":"pith_short_12","alias_value":"PKWXLRHIUUZF","created_at":"2026-07-05T11:08:36.583137+00:00"},{"alias_kind":"pith_short_16","alias_value":"PKWXLRHIUUZFXZKG","created_at":"2026-07-05T11:08:36.583137+00:00"},{"alias_kind":"pith_short_8","alias_value":"PKWXLRHI","created_at":"2026-07-05T11:08:36.583137+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/PKWXLRHIUUZFXZKGXSZMJM3ICJ","json":"https://pith.science/pith/PKWXLRHIUUZFXZKGXSZMJM3ICJ.json","graph_json":"https://pith.science/api/pith-number/PKWXLRHIUUZFXZKGXSZMJM3ICJ/graph.json","events_json":"https://pith.science/api/pith-number/PKWXLRHIUUZFXZKGXSZMJM3ICJ/events.json","paper":"https://pith.science/paper/PKWXLRHI"},"agent_actions":{"view_html":"https://pith.science/pith/PKWXLRHIUUZFXZKGXSZMJM3ICJ","download_json":"https://pith.science/pith/PKWXLRHIUUZFXZKGXSZMJM3ICJ.json","view_paper":"https://pith.science/paper/PKWXLRHI","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2505.18097&json=true","fetch_graph":"https://pith.science/api/pith-number/PKWXLRHIUUZFXZKGXSZMJM3ICJ/graph.json","fetch_events":"https://pith.science/api/pith-number/PKWXLRHIUUZFXZKGXSZMJM3ICJ/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/PKWXLRHIUUZFXZKGXSZMJM3ICJ/action/timestamp_anchor","attest_storage":"https://pith.science/pith/PKWXLRHIUUZFXZKGXSZMJM3ICJ/action/storage_attestation","attest_author":"https://pith.science/pith/PKWXLRHIUUZFXZKGXSZMJM3ICJ/action/author_attestation","sign_citation":"https://pith.science/pith/PKWXLRHIUUZFXZKGXSZMJM3ICJ/action/citation_signature","submit_replication":"https://pith.science/pith/PKWXLRHIUUZFXZKGXSZMJM3ICJ/action/replication_record"}},"created_at":"2026-07-05T11:08:36.583137+00:00","updated_at":"2026-07-05T11:08:36.583137+00:00"}