{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:QGSZ4UUIWLNF27G5COPU6HKY5Y","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":"b3cfbab78bfd74fa7e2384d7f3911c2dfc0e2568d3ef5aad2a2cba82740c930b","cross_cats_sorted":["cs.CR","cs.CV","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-05-05T18:06:41Z","title_canon_sha256":"2f9423522afd2959aea6a494f5d24213f32ca859ebdce64f82b8b0de6f6da959"},"schema_version":"1.0","source":{"id":"1905.01726","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1905.01726","created_at":"2026-05-17T23:46:57Z"},{"alias_kind":"arxiv_version","alias_value":"1905.01726v1","created_at":"2026-05-17T23:46:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1905.01726","created_at":"2026-05-17T23:46:57Z"},{"alias_kind":"pith_short_12","alias_value":"QGSZ4UUIWLNF","created_at":"2026-05-18T12:33:27Z"},{"alias_kind":"pith_short_16","alias_value":"QGSZ4UUIWLNF27G5","created_at":"2026-05-18T12:33:27Z"},{"alias_kind":"pith_short_8","alias_value":"QGSZ4UUI","created_at":"2026-05-18T12:33:27Z"}],"graph_snapshots":[{"event_id":"sha256:195988ddd61cc7ef3b9c272450bcd9137b8eef7360390b52ebdf310161dfab1a","target":"graph","created_at":"2026-05-17T23:46:57Z","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"},"paper":{"abstract_excerpt":"A large body of recent work has investigated the phenomenon of evasion attacks using adversarial examples for deep learning systems, where the addition of norm-bounded perturbations to the test inputs leads to incorrect output classification. Previous work has investigated this phenomenon in closed-world systems where training and test inputs follow a pre-specified distribution. However, real-world implementations of deep learning applications, such as autonomous driving and content classification are likely to operate in the open-world environment. In this paper, we demonstrate the success of","authors_text":"Arjun Nitin Bhagoji, Chawin Sitawarin, Daniel Cullina, Liwei Song, Mung Chiang, Prateek Mittal, Vikash Sehwag","cross_cats":["cs.CR","cs.CV","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-05-05T18:06:41Z","title":"Better the Devil you Know: An Analysis of Evasion Attacks using Out-of-Distribution Adversarial Examples"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1905.01726","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":"sha256:1ee309f6f63fd6ebc4e8836ccac695d8902de89f8bfb24c5523192e36cf2dc58","target":"record","created_at":"2026-05-17T23:46:57Z","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":"b3cfbab78bfd74fa7e2384d7f3911c2dfc0e2568d3ef5aad2a2cba82740c930b","cross_cats_sorted":["cs.CR","cs.CV","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-05-05T18:06:41Z","title_canon_sha256":"2f9423522afd2959aea6a494f5d24213f32ca859ebdce64f82b8b0de6f6da959"},"schema_version":"1.0","source":{"id":"1905.01726","kind":"arxiv","version":1}},"canonical_sha256":"81a59e5288b2da5d7cdd139f4f1d58ee2821a23c7151ee166ef2bdeade9fbe4a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"81a59e5288b2da5d7cdd139f4f1d58ee2821a23c7151ee166ef2bdeade9fbe4a","first_computed_at":"2026-05-17T23:46:57.649125Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:46:57.649125Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"+4PkdcY3Zopvkf+/WHapKJsKHEvMhFUF4gtFyqkTrVyK01oYJiYMPSXgQbGJ6p0XpIjKT40F+skd6Qd5h/LJBQ==","signature_status":"signed_v1","signed_at":"2026-05-17T23:46:57.649812Z","signed_message":"canonical_sha256_bytes"},"source_id":"1905.01726","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1ee309f6f63fd6ebc4e8836ccac695d8902de89f8bfb24c5523192e36cf2dc58","sha256:195988ddd61cc7ef3b9c272450bcd9137b8eef7360390b52ebdf310161dfab1a"],"state_sha256":"33ae24fa5ea11945c8ddff15a04071620a26aeccf1cfdac58d3e083484f8f623"}