{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:TSMWVRMHQZNNUBYCNH2P7D6C6E","short_pith_number":"pith:TSMWVRMH","canonical_record":{"source":{"id":"1712.03390","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-12-09T14:27:49Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"21421227b910c2e8cd8747c8f866087dfa2e3ceecfd153af74f9689110c24a70","abstract_canon_sha256":"716af2929d0e789f83d6597e70d545771553e10dfe262b4339fdb93f29fdc18b"},"schema_version":"1.0"},"canonical_sha256":"9c996ac587865ada070269f4ff8fc2f1149100bb11a0d773557d313b64e24e80","source":{"kind":"arxiv","id":"1712.03390","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1712.03390","created_at":"2026-05-18T00:19:56Z"},{"alias_kind":"arxiv_version","alias_value":"1712.03390v2","created_at":"2026-05-18T00:19:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1712.03390","created_at":"2026-05-18T00:19:56Z"},{"alias_kind":"pith_short_12","alias_value":"TSMWVRMHQZNN","created_at":"2026-05-18T12:31:46Z"},{"alias_kind":"pith_short_16","alias_value":"TSMWVRMHQZNNUBYC","created_at":"2026-05-18T12:31:46Z"},{"alias_kind":"pith_short_8","alias_value":"TSMWVRMH","created_at":"2026-05-18T12:31:46Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:TSMWVRMHQZNNUBYCNH2P7D6C6E","target":"record","payload":{"canonical_record":{"source":{"id":"1712.03390","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-12-09T14:27:49Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"21421227b910c2e8cd8747c8f866087dfa2e3ceecfd153af74f9689110c24a70","abstract_canon_sha256":"716af2929d0e789f83d6597e70d545771553e10dfe262b4339fdb93f29fdc18b"},"schema_version":"1.0"},"canonical_sha256":"9c996ac587865ada070269f4ff8fc2f1149100bb11a0d773557d313b64e24e80","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:19:56.641555Z","signature_b64":"eUjCA76D9t/NlDrWQ4ySlAW+0dNdXEB7XvWOmemDybGR7EOS5CC1R4ZwFnISueqEpzXXRcCCcPQHNQK44WwXAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9c996ac587865ada070269f4ff8fc2f1149100bb11a0d773557d313b64e24e80","last_reissued_at":"2026-05-18T00:19:56.640891Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:19:56.640891Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1712.03390","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:19:56Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"N0vHNZ12OqAiZL5Qg0wQXYhbhjXLNAtQEs2Cgs1MaS+Z/Bhxc43e0CYPHsQ7hb7wZDvaXLfE5/OlbeMEX58GBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-05T02:25:02.189841Z"},"content_sha256":"1deb0c5410e5b3769928946ab6a94671a38a1565f19adfd5a78fee1a1703e5d4","schema_version":"1.0","event_id":"sha256:1deb0c5410e5b3769928946ab6a94671a38a1565f19adfd5a78fee1a1703e5d4"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:TSMWVRMHQZNNUBYCNH2P7D6C6E","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"NAG: Network for Adversary Generation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"cs.CV","authors_text":"Konda Reddy Mopuri, R. Venkatesh Babu, Utkarsh Ojha, Utsav Garg","submitted_at":"2017-12-09T14:27:49Z","abstract_excerpt":"Adversarial perturbations can pose a serious threat for deploying machine learning systems. Recent works have shown existence of image-agnostic perturbations that can fool classifiers over most natural images. Existing methods present optimization approaches that solve for a fooling objective with an imperceptibility constraint to craft the perturbations. However, for a given classifier, they generate one perturbation at a time, which is a single instance from the manifold of adversarial perturbations. Also, in order to build robust models, it is essential to explore the manifold of adversaria"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1712.03390","kind":"arxiv","version":2},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:19:56Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xO+Yt+JPrrZkgxu2yBsNsbZ28P1QNA0rxQgbIdPPrb8fHYgi9P6Le8fxea5S6hvOmyysIu/0GXzxfN16qkiCBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-05T02:25:02.190402Z"},"content_sha256":"fd104b1765c88db39ebc626d87b57246bd80ae8d184610f14747b1f8c26935ab","schema_version":"1.0","event_id":"sha256:fd104b1765c88db39ebc626d87b57246bd80ae8d184610f14747b1f8c26935ab"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/TSMWVRMHQZNNUBYCNH2P7D6C6E/bundle.json","state_url":"https://pith.science/pith/TSMWVRMHQZNNUBYCNH2P7D6C6E/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/TSMWVRMHQZNNUBYCNH2P7D6C6E/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-06-05T02:25:02Z","links":{"resolver":"https://pith.science/pith/TSMWVRMHQZNNUBYCNH2P7D6C6E","bundle":"https://pith.science/pith/TSMWVRMHQZNNUBYCNH2P7D6C6E/bundle.json","state":"https://pith.science/pith/TSMWVRMHQZNNUBYCNH2P7D6C6E/state.json","well_known_bundle":"https://pith.science/.well-known/pith/TSMWVRMHQZNNUBYCNH2P7D6C6E/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:TSMWVRMHQZNNUBYCNH2P7D6C6E","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":"716af2929d0e789f83d6597e70d545771553e10dfe262b4339fdb93f29fdc18b","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-12-09T14:27:49Z","title_canon_sha256":"21421227b910c2e8cd8747c8f866087dfa2e3ceecfd153af74f9689110c24a70"},"schema_version":"1.0","source":{"id":"1712.03390","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1712.03390","created_at":"2026-05-18T00:19:56Z"},{"alias_kind":"arxiv_version","alias_value":"1712.03390v2","created_at":"2026-05-18T00:19:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1712.03390","created_at":"2026-05-18T00:19:56Z"},{"alias_kind":"pith_short_12","alias_value":"TSMWVRMHQZNN","created_at":"2026-05-18T12:31:46Z"},{"alias_kind":"pith_short_16","alias_value":"TSMWVRMHQZNNUBYC","created_at":"2026-05-18T12:31:46Z"},{"alias_kind":"pith_short_8","alias_value":"TSMWVRMH","created_at":"2026-05-18T12:31:46Z"}],"graph_snapshots":[{"event_id":"sha256:fd104b1765c88db39ebc626d87b57246bd80ae8d184610f14747b1f8c26935ab","target":"graph","created_at":"2026-05-18T00:19:56Z","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":"Adversarial perturbations can pose a serious threat for deploying machine learning systems. Recent works have shown existence of image-agnostic perturbations that can fool classifiers over most natural images. Existing methods present optimization approaches that solve for a fooling objective with an imperceptibility constraint to craft the perturbations. However, for a given classifier, they generate one perturbation at a time, which is a single instance from the manifold of adversarial perturbations. Also, in order to build robust models, it is essential to explore the manifold of adversaria","authors_text":"Konda Reddy Mopuri, R. Venkatesh Babu, Utkarsh Ojha, Utsav Garg","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-12-09T14:27:49Z","title":"NAG: Network for Adversary Generation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1712.03390","kind":"arxiv","version":2},"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":"sha256:1deb0c5410e5b3769928946ab6a94671a38a1565f19adfd5a78fee1a1703e5d4","target":"record","created_at":"2026-05-18T00:19:56Z","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":"716af2929d0e789f83d6597e70d545771553e10dfe262b4339fdb93f29fdc18b","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-12-09T14:27:49Z","title_canon_sha256":"21421227b910c2e8cd8747c8f866087dfa2e3ceecfd153af74f9689110c24a70"},"schema_version":"1.0","source":{"id":"1712.03390","kind":"arxiv","version":2}},"canonical_sha256":"9c996ac587865ada070269f4ff8fc2f1149100bb11a0d773557d313b64e24e80","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9c996ac587865ada070269f4ff8fc2f1149100bb11a0d773557d313b64e24e80","first_computed_at":"2026-05-18T00:19:56.640891Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:19:56.640891Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"eUjCA76D9t/NlDrWQ4ySlAW+0dNdXEB7XvWOmemDybGR7EOS5CC1R4ZwFnISueqEpzXXRcCCcPQHNQK44WwXAg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:19:56.641555Z","signed_message":"canonical_sha256_bytes"},"source_id":"1712.03390","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1deb0c5410e5b3769928946ab6a94671a38a1565f19adfd5a78fee1a1703e5d4","sha256:fd104b1765c88db39ebc626d87b57246bd80ae8d184610f14747b1f8c26935ab"],"state_sha256":"82e4c1907d73372d4bcdc37030ab7a98941e8a1f3313d41494652bd0d9d2049b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"jzpquSffNweGYZ6Ztmq5BTCwtMNeLFpX32UNqIMojbibv9EBImUiEXF0IhChIoJ9Qs+Y6BTQxSi+oVB2L4/rCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-05T02:25:02.193041Z","bundle_sha256":"a438ab61d3a4bbe1668a0c788ad27c5b2b3756df831735f937b334dda7d5deab"}}