{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:IB3HZG7BP3G362V223QXBBKD2T","short_pith_number":"pith:IB3HZG7B","schema_version":"1.0","canonical_sha256":"40767c9be17ecdbf6abad6e1708543d4d8a883747ac57948c37b415792cae98d","source":{"kind":"arxiv","id":"2605.18908","version":1},"attestation_state":"computed","paper":{"title":"Fast and Lightweight Backdoor Detection via Head Random Probing","license":"http://creativecommons.org/publicdomain/zero/1.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"cs.CR","authors_text":"Chunwei Tian, Daoqiang Zhang, Jiajia Liu, Jing Fang, Qi Zhu, Xueyu Yin, Yinbo Yu","submitted_at":"2026-05-17T16:05:55Z","abstract_excerpt":"Deep neural networks (DNNs) remain critically vulnerable to backdoor attacks. Existing post-training detectors often require clean or surrogate data, gradients, or iterative trigger reconstruction, leading to high computational costs and limited robustness under practical model-auditing scenarios. In this paper, we propose HTell, a fast and lightweight data-free backdoor detector based on head random probing. Instead of reconstructing diverse trigger patterns, HTell inspects their unified manifestation in the prediction head: backdoored models tend to exhibit abnormal response concentration on"},"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":"2605.18908","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.CR","submitted_at":"2026-05-17T16:05:55Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"3cd82edd7dcc0a5e290f71765f218c9b914f7ef18ff2a1d676b29c2a13b1be06","abstract_canon_sha256":"9eb6f714b6b088b9be0b5999c74755c403bb44f8fff5c8f7c9134c3f297d6dc1"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-20T00:06:31.595855Z","signature_b64":"jNiqHAgCBV+toR+Xe0YYTEGyVKuj9S8LWRk/o0/fhSYBJh0P0cGtFwCTub/n5H/qzLx2xhszuJIdB9zV7mE6DA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"40767c9be17ecdbf6abad6e1708543d4d8a883747ac57948c37b415792cae98d","last_reissued_at":"2026-05-20T00:06:31.595043Z","signature_status":"signed_v1","first_computed_at":"2026-05-20T00:06:31.595043Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Fast and Lightweight Backdoor Detection via Head Random Probing","license":"http://creativecommons.org/publicdomain/zero/1.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"cs.CR","authors_text":"Chunwei Tian, Daoqiang Zhang, Jiajia Liu, Jing Fang, Qi Zhu, Xueyu Yin, Yinbo Yu","submitted_at":"2026-05-17T16:05:55Z","abstract_excerpt":"Deep neural networks (DNNs) remain critically vulnerable to backdoor attacks. Existing post-training detectors often require clean or surrogate data, gradients, or iterative trigger reconstruction, leading to high computational costs and limited robustness under practical model-auditing scenarios. In this paper, we propose HTell, a fast and lightweight data-free backdoor detector based on head random probing. Instead of reconstructing diverse trigger patterns, HTell inspects their unified manifestation in the prediction head: backdoored models tend to exhibit abnormal response concentration on"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.18908","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/2605.18908/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":"2605.18908","created_at":"2026-05-20T00:06:31.595174+00:00"},{"alias_kind":"arxiv_version","alias_value":"2605.18908v1","created_at":"2026-05-20T00:06:31.595174+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.18908","created_at":"2026-05-20T00:06:31.595174+00:00"},{"alias_kind":"pith_short_12","alias_value":"IB3HZG7BP3G3","created_at":"2026-05-20T00:06:31.595174+00:00"},{"alias_kind":"pith_short_16","alias_value":"IB3HZG7BP3G362V2","created_at":"2026-05-20T00:06:31.595174+00:00"},{"alias_kind":"pith_short_8","alias_value":"IB3HZG7B","created_at":"2026-05-20T00:06:31.595174+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/IB3HZG7BP3G362V223QXBBKD2T","json":"https://pith.science/pith/IB3HZG7BP3G362V223QXBBKD2T.json","graph_json":"https://pith.science/api/pith-number/IB3HZG7BP3G362V223QXBBKD2T/graph.json","events_json":"https://pith.science/api/pith-number/IB3HZG7BP3G362V223QXBBKD2T/events.json","paper":"https://pith.science/paper/IB3HZG7B"},"agent_actions":{"view_html":"https://pith.science/pith/IB3HZG7BP3G362V223QXBBKD2T","download_json":"https://pith.science/pith/IB3HZG7BP3G362V223QXBBKD2T.json","view_paper":"https://pith.science/paper/IB3HZG7B","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2605.18908&json=true","fetch_graph":"https://pith.science/api/pith-number/IB3HZG7BP3G362V223QXBBKD2T/graph.json","fetch_events":"https://pith.science/api/pith-number/IB3HZG7BP3G362V223QXBBKD2T/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/IB3HZG7BP3G362V223QXBBKD2T/action/timestamp_anchor","attest_storage":"https://pith.science/pith/IB3HZG7BP3G362V223QXBBKD2T/action/storage_attestation","attest_author":"https://pith.science/pith/IB3HZG7BP3G362V223QXBBKD2T/action/author_attestation","sign_citation":"https://pith.science/pith/IB3HZG7BP3G362V223QXBBKD2T/action/citation_signature","submit_replication":"https://pith.science/pith/IB3HZG7BP3G362V223QXBBKD2T/action/replication_record"}},"created_at":"2026-05-20T00:06:31.595174+00:00","updated_at":"2026-05-20T00:06:31.595174+00:00"}