{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:H7VOE7XW2ENMN6BMSBKIFUQRB2","short_pith_number":"pith:H7VOE7XW","schema_version":"1.0","canonical_sha256":"3feae27ef6d11ac6f82c905482d2110e849942863dbcb26f0be8c77c12bd1f93","source":{"kind":"arxiv","id":"2608.04559","version":1},"attestation_state":"computed","paper":{"title":"ColorFD: A Finite-Difference Guided Black-Box Physical Adversarial Attack for Remote Sensing Object Detection","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Deliang Xiang, Guhang Qiu, Ligang Li, Rui Feng, Tiannuo Guo, Yuzhen Xie","submitted_at":"2026-08-05T07:53:26Z","abstract_excerpt":"Although deep neural network-based remote sensing object detectors have achieved strong performance, they remain vulnerable to adversarial perturbations. Existing studies mainly focus on digital or white-box settings, whereas black-box physical attacks remain underexplored. These attacks are often constrained by limited physical feasibility and inefficient optimization in high-dimensional search spaces. To address these challenges, this paper proposes ColorFD, a black-box physical attack based on multiple pure-color patches. The patch positions and color parameters are jointly optimized using "},"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":"2608.04559","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-08-05T07:53:26Z","cross_cats_sorted":[],"title_canon_sha256":"e628b6949a6aff9df24f9c4403797361a21c24f409eebb3860716a1ca86f2a31","abstract_canon_sha256":"7a41a921837387adbafa2820c0178c54558816a93ebbb68372b25c19b3fcb970"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-08-06T01:35:50.116065Z","signature_b64":"Lyiv797SH45nncFwkDzndT9utrZuhXKuaecSxAKLRVWkHgv1sJLjltOYflG0gtGPq0kRROvKCTJBOBTOnW2ZAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3feae27ef6d11ac6f82c905482d2110e849942863dbcb26f0be8c77c12bd1f93","last_reissued_at":"2026-08-06T01:35:50.114259Z","signature_status":"signed_v1","first_computed_at":"2026-08-06T01:35:50.114259Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"ColorFD: A Finite-Difference Guided Black-Box Physical Adversarial Attack for Remote Sensing Object Detection","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Deliang Xiang, Guhang Qiu, Ligang Li, Rui Feng, Tiannuo Guo, Yuzhen Xie","submitted_at":"2026-08-05T07:53:26Z","abstract_excerpt":"Although deep neural network-based remote sensing object detectors have achieved strong performance, they remain vulnerable to adversarial perturbations. Existing studies mainly focus on digital or white-box settings, whereas black-box physical attacks remain underexplored. These attacks are often constrained by limited physical feasibility and inefficient optimization in high-dimensional search spaces. To address these challenges, this paper proposes ColorFD, a black-box physical attack based on multiple pure-color patches. The patch positions and color parameters are jointly optimized using "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.04559","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/2608.04559/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":"2608.04559","created_at":"2026-08-06T01:35:50.116301+00:00"},{"alias_kind":"arxiv_version","alias_value":"2608.04559v1","created_at":"2026-08-06T01:35:50.116301+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.04559","created_at":"2026-08-06T01:35:50.116301+00:00"},{"alias_kind":"pith_short_12","alias_value":"H7VOE7XW2ENM","created_at":"2026-08-06T01:35:50.116301+00:00"},{"alias_kind":"pith_short_16","alias_value":"H7VOE7XW2ENMN6BM","created_at":"2026-08-06T01:35:50.116301+00:00"},{"alias_kind":"pith_short_8","alias_value":"H7VOE7XW","created_at":"2026-08-06T01:35:50.116301+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/H7VOE7XW2ENMN6BMSBKIFUQRB2","json":"https://pith.science/pith/H7VOE7XW2ENMN6BMSBKIFUQRB2.json","graph_json":"https://pith.science/api/pith-number/H7VOE7XW2ENMN6BMSBKIFUQRB2/graph.json","events_json":"https://pith.science/api/pith-number/H7VOE7XW2ENMN6BMSBKIFUQRB2/events.json","paper":"https://pith.science/paper/H7VOE7XW"},"agent_actions":{"view_html":"https://pith.science/pith/H7VOE7XW2ENMN6BMSBKIFUQRB2","download_json":"https://pith.science/pith/H7VOE7XW2ENMN6BMSBKIFUQRB2.json","view_paper":"https://pith.science/paper/H7VOE7XW","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2608.04559&json=true","fetch_graph":"https://pith.science/api/pith-number/H7VOE7XW2ENMN6BMSBKIFUQRB2/graph.json","fetch_events":"https://pith.science/api/pith-number/H7VOE7XW2ENMN6BMSBKIFUQRB2/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/H7VOE7XW2ENMN6BMSBKIFUQRB2/action/timestamp_anchor","attest_storage":"https://pith.science/pith/H7VOE7XW2ENMN6BMSBKIFUQRB2/action/storage_attestation","attest_author":"https://pith.science/pith/H7VOE7XW2ENMN6BMSBKIFUQRB2/action/author_attestation","sign_citation":"https://pith.science/pith/H7VOE7XW2ENMN6BMSBKIFUQRB2/action/citation_signature","submit_replication":"https://pith.science/pith/H7VOE7XW2ENMN6BMSBKIFUQRB2/action/replication_record"}},"created_at":"2026-08-06T01:35:50.116301+00:00","updated_at":"2026-08-06T01:35:50.116301+00:00"}