{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:X2F75UNACXPTVZ6EBJHPCAZ2C3","short_pith_number":"pith:X2F75UNA","schema_version":"1.0","canonical_sha256":"be8bfed1a015df3ae7c40a4ef1033a16f71a3405203ac8f8afb7f78767aa83a8","source":{"kind":"arxiv","id":"2509.03179","version":1},"attestation_state":"computed","paper":{"title":"AutoDetect: Designing an Autoencoder-based Detection Method for Poisoning Attacks on Object Detection Applications in the Military Domain","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Alma M. Liezenga, Jip J. van Stijn, Klamer Schutte, Niels W. T. Brink, Puck de Haan, Stefan Wijnja, Yori Kamphuis","submitted_at":"2025-09-03T10:05:02Z","abstract_excerpt":"Poisoning attacks pose an increasing threat to the security and robustness of Artificial Intelligence systems in the military domain. The widespread use of open-source datasets and pretrained models exacerbates this risk. Despite the severity of this threat, there is limited research on the application and detection of poisoning attacks on object detection systems. This is especially problematic in the military domain, where attacks can have grave consequences. In this work, we both investigate the effect of poisoning attacks on military object detectors in practice, and the best approach to d"},"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":"2509.03179","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-09-03T10:05:02Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"01e14844d8658e9f23d91bcf5352660d277ec2e5b4db2ebbeec24872073a0ef2","abstract_canon_sha256":"a0b333157265fd8fcb7ddeeb89215afd29336086957f4de7fbd1f7929d071d9c"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T12:04:05.714202Z","signature_b64":"KQ19v+pQFEZO9P+6WKIh5cZS00L7lg9iWw2Bi4PEzx8XNxYjCiHCoKYpX+MId1AR/7jgUJ5x1C+9vpA54Eh8AQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"be8bfed1a015df3ae7c40a4ef1033a16f71a3405203ac8f8afb7f78767aa83a8","last_reissued_at":"2026-07-05T12:04:05.713712Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T12:04:05.713712Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"AutoDetect: Designing an Autoencoder-based Detection Method for Poisoning Attacks on Object Detection Applications in the Military Domain","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Alma M. Liezenga, Jip J. van Stijn, Klamer Schutte, Niels W. T. Brink, Puck de Haan, Stefan Wijnja, Yori Kamphuis","submitted_at":"2025-09-03T10:05:02Z","abstract_excerpt":"Poisoning attacks pose an increasing threat to the security and robustness of Artificial Intelligence systems in the military domain. The widespread use of open-source datasets and pretrained models exacerbates this risk. Despite the severity of this threat, there is limited research on the application and detection of poisoning attacks on object detection systems. This is especially problematic in the military domain, where attacks can have grave consequences. In this work, we both investigate the effect of poisoning attacks on military object detectors in practice, and the best approach to d"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2509.03179","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/2509.03179/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":"2509.03179","created_at":"2026-07-05T12:04:05.713776+00:00"},{"alias_kind":"arxiv_version","alias_value":"2509.03179v1","created_at":"2026-07-05T12:04:05.713776+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2509.03179","created_at":"2026-07-05T12:04:05.713776+00:00"},{"alias_kind":"pith_short_12","alias_value":"X2F75UNACXPT","created_at":"2026-07-05T12:04:05.713776+00:00"},{"alias_kind":"pith_short_16","alias_value":"X2F75UNACXPTVZ6E","created_at":"2026-07-05T12:04:05.713776+00:00"},{"alias_kind":"pith_short_8","alias_value":"X2F75UNA","created_at":"2026-07-05T12:04:05.713776+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/X2F75UNACXPTVZ6EBJHPCAZ2C3","json":"https://pith.science/pith/X2F75UNACXPTVZ6EBJHPCAZ2C3.json","graph_json":"https://pith.science/api/pith-number/X2F75UNACXPTVZ6EBJHPCAZ2C3/graph.json","events_json":"https://pith.science/api/pith-number/X2F75UNACXPTVZ6EBJHPCAZ2C3/events.json","paper":"https://pith.science/paper/X2F75UNA"},"agent_actions":{"view_html":"https://pith.science/pith/X2F75UNACXPTVZ6EBJHPCAZ2C3","download_json":"https://pith.science/pith/X2F75UNACXPTVZ6EBJHPCAZ2C3.json","view_paper":"https://pith.science/paper/X2F75UNA","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2509.03179&json=true","fetch_graph":"https://pith.science/api/pith-number/X2F75UNACXPTVZ6EBJHPCAZ2C3/graph.json","fetch_events":"https://pith.science/api/pith-number/X2F75UNACXPTVZ6EBJHPCAZ2C3/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/X2F75UNACXPTVZ6EBJHPCAZ2C3/action/timestamp_anchor","attest_storage":"https://pith.science/pith/X2F75UNACXPTVZ6EBJHPCAZ2C3/action/storage_attestation","attest_author":"https://pith.science/pith/X2F75UNACXPTVZ6EBJHPCAZ2C3/action/author_attestation","sign_citation":"https://pith.science/pith/X2F75UNACXPTVZ6EBJHPCAZ2C3/action/citation_signature","submit_replication":"https://pith.science/pith/X2F75UNACXPTVZ6EBJHPCAZ2C3/action/replication_record"}},"created_at":"2026-07-05T12:04:05.713776+00:00","updated_at":"2026-07-05T12:04:05.713776+00:00"}