{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:ZVNOL6T4572ZYUCLSH6UJXCXW7","short_pith_number":"pith:ZVNOL6T4","schema_version":"1.0","canonical_sha256":"cd5ae5fa7ceff59c504b91fd44dc57b7f43c3fa3e7d601768b017e0dfae59298","source":{"kind":"arxiv","id":"2605.22481","version":1},"attestation_state":"computed","paper":{"title":"When Stronger Triggers Backfire: A High-Dimensional Theory of Backdoor Attacks","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["math.ST","stat.TH"],"primary_cat":"cs.LG","authors_text":"Donald Flynn, Hadas Yaron Goldhirsh, Inbar Seroussi, Jonathan P. Keating","submitted_at":"2026-05-21T13:39:06Z","abstract_excerpt":"Backdoor poisoning attacks behave counter-intuitively in high dimensions: stronger training triggers can help the defender. We study regularised generalised linear models on Gaussian-mixture data in the proportional regime ($p/n \\to \\kappa$), varying the training trigger strength $\\alpha$ against a fixed test trigger. Three phenomena emerge: (i) clean test accuracy increases with $\\alpha$; (ii) attack success peaks at a finite $\\alpha$ and then declines; and (iii) the most damaging trigger direction is the minimum eigenvector of the data covariance. We prove all three results in closed form fo"},"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":"2605.22481","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-05-21T13:39:06Z","cross_cats_sorted":["math.ST","stat.TH"],"title_canon_sha256":"cb6ec20d1e373a9aed4b259c7bef17df402d2718b73f8d865bf1f4e4a158a4b4","abstract_canon_sha256":"7b26b5da08e73e5df24319189c58c29f6a74c03bf1ff69947c888606843287a4"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-22T01:04:46.871858Z","signature_b64":"aGcI7CEXZWE1HMmuNqZoxpKmAGD8eNxgL0W23K01bMJ+YcP9TUGNR+rdXUhxBAABWmXrZSRNR3olhIk2JJVDCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"cd5ae5fa7ceff59c504b91fd44dc57b7f43c3fa3e7d601768b017e0dfae59298","last_reissued_at":"2026-05-22T01:04:46.871247Z","signature_status":"signed_v1","first_computed_at":"2026-05-22T01:04:46.871247Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"When Stronger Triggers Backfire: A High-Dimensional Theory of Backdoor Attacks","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["math.ST","stat.TH"],"primary_cat":"cs.LG","authors_text":"Donald Flynn, Hadas Yaron Goldhirsh, Inbar Seroussi, Jonathan P. Keating","submitted_at":"2026-05-21T13:39:06Z","abstract_excerpt":"Backdoor poisoning attacks behave counter-intuitively in high dimensions: stronger training triggers can help the defender. We study regularised generalised linear models on Gaussian-mixture data in the proportional regime ($p/n \\to \\kappa$), varying the training trigger strength $\\alpha$ against a fixed test trigger. Three phenomena emerge: (i) clean test accuracy increases with $\\alpha$; (ii) attack success peaks at a finite $\\alpha$ and then declines; and (iii) the most damaging trigger direction is the minimum eigenvector of the data covariance. We prove all three results in closed form fo"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.22481","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/2605.22481/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":"2605.22481","created_at":"2026-05-22T01:04:46.871371+00:00"},{"alias_kind":"arxiv_version","alias_value":"2605.22481v1","created_at":"2026-05-22T01:04:46.871371+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.22481","created_at":"2026-05-22T01:04:46.871371+00:00"},{"alias_kind":"pith_short_12","alias_value":"ZVNOL6T4572Z","created_at":"2026-05-22T01:04:46.871371+00:00"},{"alias_kind":"pith_short_16","alias_value":"ZVNOL6T4572ZYUCL","created_at":"2026-05-22T01:04:46.871371+00:00"},{"alias_kind":"pith_short_8","alias_value":"ZVNOL6T4","created_at":"2026-05-22T01:04:46.871371+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/ZVNOL6T4572ZYUCLSH6UJXCXW7","json":"https://pith.science/pith/ZVNOL6T4572ZYUCLSH6UJXCXW7.json","graph_json":"https://pith.science/api/pith-number/ZVNOL6T4572ZYUCLSH6UJXCXW7/graph.json","events_json":"https://pith.science/api/pith-number/ZVNOL6T4572ZYUCLSH6UJXCXW7/events.json","paper":"https://pith.science/paper/ZVNOL6T4"},"agent_actions":{"view_html":"https://pith.science/pith/ZVNOL6T4572ZYUCLSH6UJXCXW7","download_json":"https://pith.science/pith/ZVNOL6T4572ZYUCLSH6UJXCXW7.json","view_paper":"https://pith.science/paper/ZVNOL6T4","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2605.22481&json=true","fetch_graph":"https://pith.science/api/pith-number/ZVNOL6T4572ZYUCLSH6UJXCXW7/graph.json","fetch_events":"https://pith.science/api/pith-number/ZVNOL6T4572ZYUCLSH6UJXCXW7/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/ZVNOL6T4572ZYUCLSH6UJXCXW7/action/timestamp_anchor","attest_storage":"https://pith.science/pith/ZVNOL6T4572ZYUCLSH6UJXCXW7/action/storage_attestation","attest_author":"https://pith.science/pith/ZVNOL6T4572ZYUCLSH6UJXCXW7/action/author_attestation","sign_citation":"https://pith.science/pith/ZVNOL6T4572ZYUCLSH6UJXCXW7/action/citation_signature","submit_replication":"https://pith.science/pith/ZVNOL6T4572ZYUCLSH6UJXCXW7/action/replication_record"}},"created_at":"2026-05-22T01:04:46.871371+00:00","updated_at":"2026-05-22T01:04:46.871371+00:00"}