{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:JOX2BAL5VYTUVMNJSMJAGC4M4M","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"5933b16f7a278908811c7f674e630dec8ff3ebb5ee9cca17649bc2423ee0915f","cross_cats_sorted":["cs.AR","cs.CR","cs.CV","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-09-04T05:29:38Z","title_canon_sha256":"13192f18697f25ff711c712213e9e1ce11b85a205afa4b1245bbe4370decda39"},"schema_version":"1.0","source":{"id":"2009.02326","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2009.02326","created_at":"2026-07-05T01:33:07Z"},{"alias_kind":"arxiv_version","alias_value":"2009.02326v1","created_at":"2026-07-05T01:33:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2009.02326","created_at":"2026-07-05T01:33:07Z"},{"alias_kind":"pith_short_12","alias_value":"JOX2BAL5VYTU","created_at":"2026-07-05T01:33:07Z"},{"alias_kind":"pith_short_16","alias_value":"JOX2BAL5VYTUVMNJ","created_at":"2026-07-05T01:33:07Z"},{"alias_kind":"pith_short_8","alias_value":"JOX2BAL5","created_at":"2026-07-05T01:33:07Z"}],"graph_snapshots":[{"event_id":"sha256:80a96ecc05c48a9c838a0b6234168f2de2b31a546abd9e103509b3b454ada12c","target":"graph","created_at":"2026-07-05T01:33:07Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2009.02326/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We propose CLEANN, the first end-to-end framework that enables online mitigation of Trojans for embedded Deep Neural Network (DNN) applications. A Trojan attack works by injecting a backdoor in the DNN while training; during inference, the Trojan can be activated by the specific backdoor trigger. What differentiates CLEANN from the prior work is its lightweight methodology which recovers the ground-truth class of Trojan samples without the need for labeled data, model retraining, or prior assumptions on the trigger or the attack. We leverage dictionary learning and sparse approximation to char","authors_text":"Farinaz Koushanfar, Gregory Fields, Mohammad Samragh, Mojan Javaheripi, Tara Javidi","cross_cats":["cs.AR","cs.CR","cs.CV","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-09-04T05:29:38Z","title":"CLEANN: Accelerated Trojan Shield for Embedded Neural Networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2009.02326","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:3812a33850bc577fd881b1f4e9dfcf1b8914849bfa2f7374192a16536003f117","target":"record","created_at":"2026-07-05T01:33:07Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"5933b16f7a278908811c7f674e630dec8ff3ebb5ee9cca17649bc2423ee0915f","cross_cats_sorted":["cs.AR","cs.CR","cs.CV","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-09-04T05:29:38Z","title_canon_sha256":"13192f18697f25ff711c712213e9e1ce11b85a205afa4b1245bbe4370decda39"},"schema_version":"1.0","source":{"id":"2009.02326","kind":"arxiv","version":1}},"canonical_sha256":"4bafa0817dae274ab1a99312030b8ce31c800caac78b62f8b50b645819f85129","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4bafa0817dae274ab1a99312030b8ce31c800caac78b62f8b50b645819f85129","first_computed_at":"2026-07-05T01:33:07.757074Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:33:07.757074Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"eeeqc4/NWVBcauyv+zoV/cBkShAH/B4jcLjL7rI4d1c1aNj0PB4TWlX+QBbnMSvM1h7uxkGeyierPuCOHmGWAA==","signature_status":"signed_v1","signed_at":"2026-07-05T01:33:07.757482Z","signed_message":"canonical_sha256_bytes"},"source_id":"2009.02326","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3812a33850bc577fd881b1f4e9dfcf1b8914849bfa2f7374192a16536003f117","sha256:80a96ecc05c48a9c838a0b6234168f2de2b31a546abd9e103509b3b454ada12c"],"state_sha256":"97b9111505ad3d638bc1d11f1464bbdb6d819d4f9a7ec577a3cc007765b3d470"}