{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:65EBPHRQDB6LR3DPIDT4RJFI4L","short_pith_number":"pith:65EBPHRQ","schema_version":"1.0","canonical_sha256":"f748179e30187cb8ec6f40e7c8a4a8e2edfdcdafa4a3dd9de78d822334ddfc6f","source":{"kind":"arxiv","id":"2507.17577","version":1},"attestation_state":"computed","paper":{"title":"Boosting Ray Search Procedure of Hard-label Attacks with Transfer-based Priors","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CR","cs.LG"],"primary_cat":"cs.CV","authors_text":"Chen Ma, Qi Xuan, Shuyu Cheng, Xinjie Xu","submitted_at":"2025-07-23T15:11:25Z","abstract_excerpt":"One of the most practical and challenging types of black-box adversarial attacks is the hard-label attack, where only the top-1 predicted label is available. One effective approach is to search for the optimal ray direction from the benign image that minimizes the $\\ell_p$-norm distance to the adversarial region. The unique advantage of this approach is that it transforms the hard-label attack into a continuous optimization problem. The objective function value is the ray's radius, which can be obtained via binary search at a high query cost. Existing methods use a \"sign trick\" in gradient est"},"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":"2507.17577","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-07-23T15:11:25Z","cross_cats_sorted":["cs.CR","cs.LG"],"title_canon_sha256":"0a57b09b63a99cd0c90eb411f8ad85bfb26b143bff4e4f58a83bbb4cc28cec54","abstract_canon_sha256":"6191a00d350f73f1e943ae81c511801e40e80ba9d51a0ac2a4d2859a6737c229"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:42:10.228153Z","signature_b64":"E+aJPC/4OUjJNDqNGAHUcIKqYu68sbgk0CoXacaR94w8Gfuz+fOJxgRB64pUHaSrEgrfuc696cRm4uf8qptHBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f748179e30187cb8ec6f40e7c8a4a8e2edfdcdafa4a3dd9de78d822334ddfc6f","last_reissued_at":"2026-07-05T11:42:10.227626Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:42:10.227626Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Boosting Ray Search Procedure of Hard-label Attacks with Transfer-based Priors","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CR","cs.LG"],"primary_cat":"cs.CV","authors_text":"Chen Ma, Qi Xuan, Shuyu Cheng, Xinjie Xu","submitted_at":"2025-07-23T15:11:25Z","abstract_excerpt":"One of the most practical and challenging types of black-box adversarial attacks is the hard-label attack, where only the top-1 predicted label is available. One effective approach is to search for the optimal ray direction from the benign image that minimizes the $\\ell_p$-norm distance to the adversarial region. The unique advantage of this approach is that it transforms the hard-label attack into a continuous optimization problem. The objective function value is the ray's radius, which can be obtained via binary search at a high query cost. Existing methods use a \"sign trick\" in gradient est"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.17577","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/2507.17577/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":"2507.17577","created_at":"2026-07-05T11:42:10.227684+00:00"},{"alias_kind":"arxiv_version","alias_value":"2507.17577v1","created_at":"2026-07-05T11:42:10.227684+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.17577","created_at":"2026-07-05T11:42:10.227684+00:00"},{"alias_kind":"pith_short_12","alias_value":"65EBPHRQDB6L","created_at":"2026-07-05T11:42:10.227684+00:00"},{"alias_kind":"pith_short_16","alias_value":"65EBPHRQDB6LR3DP","created_at":"2026-07-05T11:42:10.227684+00:00"},{"alias_kind":"pith_short_8","alias_value":"65EBPHRQ","created_at":"2026-07-05T11:42:10.227684+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/65EBPHRQDB6LR3DPIDT4RJFI4L","json":"https://pith.science/pith/65EBPHRQDB6LR3DPIDT4RJFI4L.json","graph_json":"https://pith.science/api/pith-number/65EBPHRQDB6LR3DPIDT4RJFI4L/graph.json","events_json":"https://pith.science/api/pith-number/65EBPHRQDB6LR3DPIDT4RJFI4L/events.json","paper":"https://pith.science/paper/65EBPHRQ"},"agent_actions":{"view_html":"https://pith.science/pith/65EBPHRQDB6LR3DPIDT4RJFI4L","download_json":"https://pith.science/pith/65EBPHRQDB6LR3DPIDT4RJFI4L.json","view_paper":"https://pith.science/paper/65EBPHRQ","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2507.17577&json=true","fetch_graph":"https://pith.science/api/pith-number/65EBPHRQDB6LR3DPIDT4RJFI4L/graph.json","fetch_events":"https://pith.science/api/pith-number/65EBPHRQDB6LR3DPIDT4RJFI4L/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/65EBPHRQDB6LR3DPIDT4RJFI4L/action/timestamp_anchor","attest_storage":"https://pith.science/pith/65EBPHRQDB6LR3DPIDT4RJFI4L/action/storage_attestation","attest_author":"https://pith.science/pith/65EBPHRQDB6LR3DPIDT4RJFI4L/action/author_attestation","sign_citation":"https://pith.science/pith/65EBPHRQDB6LR3DPIDT4RJFI4L/action/citation_signature","submit_replication":"https://pith.science/pith/65EBPHRQDB6LR3DPIDT4RJFI4L/action/replication_record"}},"created_at":"2026-07-05T11:42:10.227684+00:00","updated_at":"2026-07-05T11:42:10.227684+00:00"}