{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:WNHFGRWYBWVEWHU673C3PSDTUU","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":"05cc81a2316066de973da62954b963b861c9e25d12524cca4eaee1af45df1425","cross_cats_sorted":["cs.CR"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2019-05-08T20:56:47Z","title_canon_sha256":"b439184d1ab6ba553f62c9f339d907f07af9c39dea3e10c0a61758e791ce77b0"},"schema_version":"1.0","source":{"id":"1905.03333","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1905.03333","created_at":"2026-05-17T23:46:40Z"},{"alias_kind":"arxiv_version","alias_value":"1905.03333v1","created_at":"2026-05-17T23:46:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1905.03333","created_at":"2026-05-17T23:46:40Z"},{"alias_kind":"pith_short_12","alias_value":"WNHFGRWYBWVE","created_at":"2026-05-18T12:33:30Z"},{"alias_kind":"pith_short_16","alias_value":"WNHFGRWYBWVEWHU6","created_at":"2026-05-18T12:33:30Z"},{"alias_kind":"pith_short_8","alias_value":"WNHFGRWY","created_at":"2026-05-18T12:33:30Z"}],"graph_snapshots":[{"event_id":"sha256:37c3eef381ff7eaa6925ca2d946c843ded6e3935c053db34e3dec5c8ced23d94","target":"graph","created_at":"2026-05-17T23:46:40Z","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":"Neural networks are known to be vulnerable to carefully crafted adversarial examples, and these malicious samples often transfer, i.e., they maintain their effectiveness even against other models. With great efforts delved into the transferability of adversarial examples, surprisingly, less attention has been paid to its impact on real-world deep learning deployment. In this paper, we investigate the transferability of adversarial examples across a wide range of real-world computer vision tasks, including image classification, explicit content detection, optical character recognition (OCR), an","authors_text":"Senem Velipasalar, Tao Wei, Yantao Lu, Yunhan Jia, Zhenyu Zhong","cross_cats":["cs.CR"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2019-05-08T20:56:47Z","title":"Enhancing Cross-task Transferability of Adversarial Examples with Dispersion Reduction"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1905.03333","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:f27fdd2fcf6df1064df4f88e94558df504a796de18b967a4cccf96307af66b8f","target":"record","created_at":"2026-05-17T23:46:40Z","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":"05cc81a2316066de973da62954b963b861c9e25d12524cca4eaee1af45df1425","cross_cats_sorted":["cs.CR"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2019-05-08T20:56:47Z","title_canon_sha256":"b439184d1ab6ba553f62c9f339d907f07af9c39dea3e10c0a61758e791ce77b0"},"schema_version":"1.0","source":{"id":"1905.03333","kind":"arxiv","version":1}},"canonical_sha256":"b34e5346d80daa4b1e9efec5b7c873a52cc654e0c70292636d73eafe1a854326","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b34e5346d80daa4b1e9efec5b7c873a52cc654e0c70292636d73eafe1a854326","first_computed_at":"2026-05-17T23:46:40.349104Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:46:40.349104Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ipJmMce2CmMkPxsDbQFOzUc8/Vny/xxBKEWP6xOEGiYZJAdhLsulNWqp+pynquNoLioD5tNM+dEEgzXBno/yDw==","signature_status":"signed_v1","signed_at":"2026-05-17T23:46:40.349684Z","signed_message":"canonical_sha256_bytes"},"source_id":"1905.03333","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f27fdd2fcf6df1064df4f88e94558df504a796de18b967a4cccf96307af66b8f","sha256:37c3eef381ff7eaa6925ca2d946c843ded6e3935c053db34e3dec5c8ced23d94"],"state_sha256":"5700a13e1c7e23250bb42527bef3b2f66237e9bfe132c9b1435fa70dfc213c9f"}