{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:IOHQBWRTG7WRDQCPB7G62L5W55","short_pith_number":"pith:IOHQBWRT","schema_version":"1.0","canonical_sha256":"438f00da3337ed11c04f0fcded2fb6ef6d08419a4d337f3e78be59caf7b45610","source":{"kind":"arxiv","id":"2508.12132","version":1},"attestation_state":"computed","paper":{"title":"TriQDef: Disrupting Semantic and Gradient Alignment to Prevent Adversarial Patch Transferability in Quantized Neural Networks","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["cs.CR"],"primary_cat":"cs.CV","authors_text":"Amira Guesmi, Bassem Ouni, Muhammad Shafique","submitted_at":"2025-08-16T18:51:48Z","abstract_excerpt":"Quantized Neural Networks (QNNs) are increasingly deployed in edge and resource-constrained environments due to their efficiency in computation and memory usage. While shown to distort the gradient landscape and weaken conventional pixel-level attacks, it provides limited robustness against patch-based adversarial attacks-localized, high-saliency perturbations that remain surprisingly transferable across bit-widths. Existing defenses either overfit to fixed quantization settings or fail to address this cross-bit generalization vulnerability. We introduce \\textbf{TriQDef}, a tri-level quantizat"},"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":"2508.12132","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2025-08-16T18:51:48Z","cross_cats_sorted":["cs.CR"],"title_canon_sha256":"c13ba48ee986a8a659adf927c2a2390e8c36ec5ef5d1c95c983a08384ad7055c","abstract_canon_sha256":"9206db0b5941b0d2a1035484fd86a7ec72b6e1b763c173aa000e05bd628ae8d1"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:55:00.624244Z","signature_b64":"Gx5l8ZYSr5oSHQ3/4alTT658BvRLzHTEd25LyOFXuGglC15KtB8MbYc8sBWkqlk626dCnZa80En+xVzyAtMlDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"438f00da3337ed11c04f0fcded2fb6ef6d08419a4d337f3e78be59caf7b45610","last_reissued_at":"2026-07-05T11:55:00.623772Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:55:00.623772Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"TriQDef: Disrupting Semantic and Gradient Alignment to Prevent Adversarial Patch Transferability in Quantized Neural Networks","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["cs.CR"],"primary_cat":"cs.CV","authors_text":"Amira Guesmi, Bassem Ouni, Muhammad Shafique","submitted_at":"2025-08-16T18:51:48Z","abstract_excerpt":"Quantized Neural Networks (QNNs) are increasingly deployed in edge and resource-constrained environments due to their efficiency in computation and memory usage. While shown to distort the gradient landscape and weaken conventional pixel-level attacks, it provides limited robustness against patch-based adversarial attacks-localized, high-saliency perturbations that remain surprisingly transferable across bit-widths. Existing defenses either overfit to fixed quantization settings or fail to address this cross-bit generalization vulnerability. We introduce \\textbf{TriQDef}, a tri-level quantizat"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.12132","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/2508.12132/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":"2508.12132","created_at":"2026-07-05T11:55:00.623832+00:00"},{"alias_kind":"arxiv_version","alias_value":"2508.12132v1","created_at":"2026-07-05T11:55:00.623832+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.12132","created_at":"2026-07-05T11:55:00.623832+00:00"},{"alias_kind":"pith_short_12","alias_value":"IOHQBWRTG7WR","created_at":"2026-07-05T11:55:00.623832+00:00"},{"alias_kind":"pith_short_16","alias_value":"IOHQBWRTG7WRDQCP","created_at":"2026-07-05T11:55:00.623832+00:00"},{"alias_kind":"pith_short_8","alias_value":"IOHQBWRT","created_at":"2026-07-05T11:55:00.623832+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/IOHQBWRTG7WRDQCPB7G62L5W55","json":"https://pith.science/pith/IOHQBWRTG7WRDQCPB7G62L5W55.json","graph_json":"https://pith.science/api/pith-number/IOHQBWRTG7WRDQCPB7G62L5W55/graph.json","events_json":"https://pith.science/api/pith-number/IOHQBWRTG7WRDQCPB7G62L5W55/events.json","paper":"https://pith.science/paper/IOHQBWRT"},"agent_actions":{"view_html":"https://pith.science/pith/IOHQBWRTG7WRDQCPB7G62L5W55","download_json":"https://pith.science/pith/IOHQBWRTG7WRDQCPB7G62L5W55.json","view_paper":"https://pith.science/paper/IOHQBWRT","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2508.12132&json=true","fetch_graph":"https://pith.science/api/pith-number/IOHQBWRTG7WRDQCPB7G62L5W55/graph.json","fetch_events":"https://pith.science/api/pith-number/IOHQBWRTG7WRDQCPB7G62L5W55/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/IOHQBWRTG7WRDQCPB7G62L5W55/action/timestamp_anchor","attest_storage":"https://pith.science/pith/IOHQBWRTG7WRDQCPB7G62L5W55/action/storage_attestation","attest_author":"https://pith.science/pith/IOHQBWRTG7WRDQCPB7G62L5W55/action/author_attestation","sign_citation":"https://pith.science/pith/IOHQBWRTG7WRDQCPB7G62L5W55/action/citation_signature","submit_replication":"https://pith.science/pith/IOHQBWRTG7WRDQCPB7G62L5W55/action/replication_record"}},"created_at":"2026-07-05T11:55:00.623832+00:00","updated_at":"2026-07-05T11:55:00.623832+00:00"}