{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:VR56DBGR2JQXRHUVK2NDVWDM6U","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":"d457ceca415f17e9918fdb3fb22669477394607fd750ee01e2e048c07e3e0cc6","cross_cats_sorted":["cs.LG","eess.IV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-10-22T15:47:56Z","title_canon_sha256":"ad408bde6705e32ea5114e8d099bd8f3d2b38302f93abee95f34d546a5a58407"},"schema_version":"1.0","source":{"id":"1910.10053","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1910.10053","created_at":"2026-07-05T00:14:05Z"},{"alias_kind":"arxiv_version","alias_value":"1910.10053v1","created_at":"2026-07-05T00:14:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1910.10053","created_at":"2026-07-05T00:14:05Z"},{"alias_kind":"pith_short_12","alias_value":"VR56DBGR2JQX","created_at":"2026-07-05T00:14:05Z"},{"alias_kind":"pith_short_16","alias_value":"VR56DBGR2JQXRHUV","created_at":"2026-07-05T00:14:05Z"},{"alias_kind":"pith_short_8","alias_value":"VR56DBGR","created_at":"2026-07-05T00:14:05Z"}],"graph_snapshots":[{"event_id":"sha256:ce1b43c0761cec3e73c490eb13b35e25a02f3917951ff87b50e357b2c2d8965d","target":"graph","created_at":"2026-07-05T00:14:05Z","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/1910.10053/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Deep neural nets achieve state-of-the-art performance on the problem of optical flow estimation. Since optical flow is used in several safety-critical applications like self-driving cars, it is important to gain insights into the robustness of those techniques. Recently, it has been shown that adversarial attacks easily fool deep neural networks to misclassify objects. The robustness of optical flow networks to adversarial attacks, however, has not been studied so far. In this paper, we extend adversarial patch attacks to optical flow networks and show that such attacks can compromise their pe","authors_text":"Andreas Geiger, Anurag Ranjan, Joel Janai, Michael J. Black","cross_cats":["cs.LG","eess.IV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-10-22T15:47:56Z","title":"Attacking Optical Flow"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1910.10053","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:acf85209da4097b7ffc3f58f218969c66cf687194d5dfab112e7487fb51b6920","target":"record","created_at":"2026-07-05T00:14:05Z","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":"d457ceca415f17e9918fdb3fb22669477394607fd750ee01e2e048c07e3e0cc6","cross_cats_sorted":["cs.LG","eess.IV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-10-22T15:47:56Z","title_canon_sha256":"ad408bde6705e32ea5114e8d099bd8f3d2b38302f93abee95f34d546a5a58407"},"schema_version":"1.0","source":{"id":"1910.10053","kind":"arxiv","version":1}},"canonical_sha256":"ac7be184d1d261789e95569a3ad86cf503efeb55b2d376cca61240d69864326f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ac7be184d1d261789e95569a3ad86cf503efeb55b2d376cca61240d69864326f","first_computed_at":"2026-07-05T00:14:05.174902Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T00:14:05.174902Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"EuCrbDfQQ/V7oFGMY4djmNi9dnaVNqGX5x765TNw2qF2Ii2Hm+YQlM+rTZW0nuSlZogCMOjiGkz8cjJNPCY3BQ==","signature_status":"signed_v1","signed_at":"2026-07-05T00:14:05.175391Z","signed_message":"canonical_sha256_bytes"},"source_id":"1910.10053","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:acf85209da4097b7ffc3f58f218969c66cf687194d5dfab112e7487fb51b6920","sha256:ce1b43c0761cec3e73c490eb13b35e25a02f3917951ff87b50e357b2c2d8965d"],"state_sha256":"15f7799ed0bc4af81fd190c990cbb1ac5b4c49da2e2ec8f055f46d089389ec8c"}