{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:GNIYWT4VSAKIKW6M7SNZ4MZ34M","short_pith_number":"pith:GNIYWT4V","canonical_record":{"source":{"id":"2202.08602","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CR","submitted_at":"2022-02-17T11:29:50Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"a1bc38cf58a9fe702ff3dcec20633cb8c49f819bff46a573834fb5c0ddf4a278","abstract_canon_sha256":"7fd6ee7020af284757f59293bde06f8a79cf2c2a4762b14c5e289ef914562fce"},"schema_version":"1.0"},"canonical_sha256":"33518b4f959014855bccfc9b9e333be31e5d4395e63d65f72370b902c672a136","source":{"kind":"arxiv","id":"2202.08602","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2202.08602","created_at":"2026-07-05T04:21:09Z"},{"alias_kind":"arxiv_version","alias_value":"2202.08602v3","created_at":"2026-07-05T04:21:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2202.08602","created_at":"2026-07-05T04:21:09Z"},{"alias_kind":"pith_short_12","alias_value":"GNIYWT4VSAKI","created_at":"2026-07-05T04:21:09Z"},{"alias_kind":"pith_short_16","alias_value":"GNIYWT4VSAKIKW6M","created_at":"2026-07-05T04:21:09Z"},{"alias_kind":"pith_short_8","alias_value":"GNIYWT4V","created_at":"2026-07-05T04:21:09Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:GNIYWT4VSAKIKW6M7SNZ4MZ34M","target":"record","payload":{"canonical_record":{"source":{"id":"2202.08602","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CR","submitted_at":"2022-02-17T11:29:50Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"a1bc38cf58a9fe702ff3dcec20633cb8c49f819bff46a573834fb5c0ddf4a278","abstract_canon_sha256":"7fd6ee7020af284757f59293bde06f8a79cf2c2a4762b14c5e289ef914562fce"},"schema_version":"1.0"},"canonical_sha256":"33518b4f959014855bccfc9b9e333be31e5d4395e63d65f72370b902c672a136","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:21:09.722637Z","signature_b64":"ZNTbRfGh2sKDJap2ngorEWn9fL7m9bc6vRjlQT/YnKj8NMCkj++n7eO0puYgdzic+Z6mEgMGRAam4zW8gG1MAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"33518b4f959014855bccfc9b9e333be31e5d4395e63d65f72370b902c672a136","last_reissued_at":"2026-07-05T04:21:09.722137Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:21:09.722137Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2202.08602","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T04:21:09Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"HSg2QoNgNk3wI9qxtu0viahJTfZERYwI94SgZF4a+e413D4VsrcuzAhn5KLih4bxN0lDpuz6aGCZ4quWACrQBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T10:53:05.379579Z"},"content_sha256":"b715bc6532590a9ae99b389ed46145b860e22fe0000a03a88ba5a33bf8167f0a","schema_version":"1.0","event_id":"sha256:b715bc6532590a9ae99b389ed46145b860e22fe0000a03a88ba5a33bf8167f0a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:GNIYWT4VSAKIKW6M7SNZ4MZ34M","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Fingerprinting Deep Neural Networks Globally via Universal Adversarial Perturbations","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CR","authors_text":"Cheng Zhang, Guoxing Chen, Haojin Zhu, Minhui Xue, Shaofeng Li, Zirui Peng","submitted_at":"2022-02-17T11:29:50Z","abstract_excerpt":"In this paper, we propose a novel and practical mechanism which enables the service provider to verify whether a suspect model is stolen from the victim model via model extraction attacks. Our key insight is that the profile of a DNN model's decision boundary can be uniquely characterized by its Universal Adversarial Perturbations (UAPs). UAPs belong to a low-dimensional subspace and piracy models' subspaces are more consistent with victim model's subspace compared with non-piracy model. Based on this, we propose a UAP fingerprinting method for DNN models and train an encoder via contrastive l"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2202.08602","kind":"arxiv","version":3},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2202.08602/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"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":"2026-07-05T04:21:09Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"AdpLdgU+cdVIKnt1Mf/ZUbhOUrysAyTLhPFQpLjaVK8y3P3lsIqxcrg9GaEVX+Y1E2O/McsFtEBzq528ZMINAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T10:53:05.380176Z"},"content_sha256":"125d0d02616596dd3e96c2d2c188a71b85d843321875390f0f511bfc88fbfb63","schema_version":"1.0","event_id":"sha256:125d0d02616596dd3e96c2d2c188a71b85d843321875390f0f511bfc88fbfb63"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/GNIYWT4VSAKIKW6M7SNZ4MZ34M/bundle.json","state_url":"https://pith.science/pith/GNIYWT4VSAKIKW6M7SNZ4MZ34M/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/GNIYWT4VSAKIKW6M7SNZ4MZ34M/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":"2026-08-10T10:53:05Z","links":{"resolver":"https://pith.science/pith/GNIYWT4VSAKIKW6M7SNZ4MZ34M","bundle":"https://pith.science/pith/GNIYWT4VSAKIKW6M7SNZ4MZ34M/bundle.json","state":"https://pith.science/pith/GNIYWT4VSAKIKW6M7SNZ4MZ34M/state.json","well_known_bundle":"https://pith.science/.well-known/pith/GNIYWT4VSAKIKW6M7SNZ4MZ34M/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:GNIYWT4VSAKIKW6M7SNZ4MZ34M","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":"7fd6ee7020af284757f59293bde06f8a79cf2c2a4762b14c5e289ef914562fce","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CR","submitted_at":"2022-02-17T11:29:50Z","title_canon_sha256":"a1bc38cf58a9fe702ff3dcec20633cb8c49f819bff46a573834fb5c0ddf4a278"},"schema_version":"1.0","source":{"id":"2202.08602","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2202.08602","created_at":"2026-07-05T04:21:09Z"},{"alias_kind":"arxiv_version","alias_value":"2202.08602v3","created_at":"2026-07-05T04:21:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2202.08602","created_at":"2026-07-05T04:21:09Z"},{"alias_kind":"pith_short_12","alias_value":"GNIYWT4VSAKI","created_at":"2026-07-05T04:21:09Z"},{"alias_kind":"pith_short_16","alias_value":"GNIYWT4VSAKIKW6M","created_at":"2026-07-05T04:21:09Z"},{"alias_kind":"pith_short_8","alias_value":"GNIYWT4V","created_at":"2026-07-05T04:21:09Z"}],"graph_snapshots":[{"event_id":"sha256:125d0d02616596dd3e96c2d2c188a71b85d843321875390f0f511bfc88fbfb63","target":"graph","created_at":"2026-07-05T04:21:09Z","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/2202.08602/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In this paper, we propose a novel and practical mechanism which enables the service provider to verify whether a suspect model is stolen from the victim model via model extraction attacks. Our key insight is that the profile of a DNN model's decision boundary can be uniquely characterized by its Universal Adversarial Perturbations (UAPs). UAPs belong to a low-dimensional subspace and piracy models' subspaces are more consistent with victim model's subspace compared with non-piracy model. Based on this, we propose a UAP fingerprinting method for DNN models and train an encoder via contrastive l","authors_text":"Cheng Zhang, Guoxing Chen, Haojin Zhu, Minhui Xue, Shaofeng Li, Zirui Peng","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CR","submitted_at":"2022-02-17T11:29:50Z","title":"Fingerprinting Deep Neural Networks Globally via Universal Adversarial Perturbations"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2202.08602","kind":"arxiv","version":3},"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:b715bc6532590a9ae99b389ed46145b860e22fe0000a03a88ba5a33bf8167f0a","target":"record","created_at":"2026-07-05T04:21:09Z","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":"7fd6ee7020af284757f59293bde06f8a79cf2c2a4762b14c5e289ef914562fce","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CR","submitted_at":"2022-02-17T11:29:50Z","title_canon_sha256":"a1bc38cf58a9fe702ff3dcec20633cb8c49f819bff46a573834fb5c0ddf4a278"},"schema_version":"1.0","source":{"id":"2202.08602","kind":"arxiv","version":3}},"canonical_sha256":"33518b4f959014855bccfc9b9e333be31e5d4395e63d65f72370b902c672a136","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"33518b4f959014855bccfc9b9e333be31e5d4395e63d65f72370b902c672a136","first_computed_at":"2026-07-05T04:21:09.722137Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:21:09.722137Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ZNTbRfGh2sKDJap2ngorEWn9fL7m9bc6vRjlQT/YnKj8NMCkj++n7eO0puYgdzic+Z6mEgMGRAam4zW8gG1MAw==","signature_status":"signed_v1","signed_at":"2026-07-05T04:21:09.722637Z","signed_message":"canonical_sha256_bytes"},"source_id":"2202.08602","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b715bc6532590a9ae99b389ed46145b860e22fe0000a03a88ba5a33bf8167f0a","sha256:125d0d02616596dd3e96c2d2c188a71b85d843321875390f0f511bfc88fbfb63"],"state_sha256":"98ba8906d392081683cbd892648c175f2db5ec83aa188625734ff2c56075c0f1"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"SIz+T7iZiDOcA8ncSnvQEUIVS/D7cgqAFZVrh2EXS2LpVydW6GsGdt/Im+RgsnLFVT3Pd3zAvUvqwKmL5V4OCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-10T10:53:05.388097Z","bundle_sha256":"fc9bdf4c1f9054ac8bb26a9640e7ff5219396d95df7dd6957d512558d444a8fc"}}