{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:65FU7LJIIV3QY3HFAIEX4FAY5Z","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":"4401396a166892d6006114439c214ea4bd33adb920733aee9ce6a17fc7afd88f","cross_cats_sorted":["cs.AI","cs.CR"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-02-19T21:53:43Z","title_canon_sha256":"cfbe87ce9cece4d3c18abb6c7404efca7bc5a0b6e64eb6a2b179b93e90d028ba"},"schema_version":"1.0","source":{"id":"2402.12572","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2402.12572","created_at":"2026-07-05T08:44:12Z"},{"alias_kind":"arxiv_version","alias_value":"2402.12572v2","created_at":"2026-07-05T08:44:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2402.12572","created_at":"2026-07-05T08:44:12Z"},{"alias_kind":"pith_short_12","alias_value":"65FU7LJIIV3Q","created_at":"2026-07-05T08:44:12Z"},{"alias_kind":"pith_short_16","alias_value":"65FU7LJIIV3QY3HF","created_at":"2026-07-05T08:44:12Z"},{"alias_kind":"pith_short_8","alias_value":"65FU7LJI","created_at":"2026-07-05T08:44:12Z"}],"graph_snapshots":[{"event_id":"sha256:1a43722e8d4649123519c90c6d644bb9768f8e5dce1728a368d7476d645995ac","target":"graph","created_at":"2026-07-05T08:44:12Z","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/2402.12572/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Machine learning models are increasingly used in societal applications, yet legal and privacy concerns demand that they very often be kept confidential. Consequently, there is a growing distrust about the fairness properties of these models in the minds of consumers, who are often at the receiving end of model predictions. To this end, we propose \\name -- a system that uses Zero-Knowledge Proofs (a cryptographic primitive) to publicly verify the fairness of a model, while maintaining confidentiality. We also propose a fairness certification algorithm for fully-connected neural networks which i","authors_text":"Amrita Roy Chowdhury, Chhavi Yadav, Dan Boneh, Kamalika Chaudhuri","cross_cats":["cs.AI","cs.CR"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-02-19T21:53:43Z","title":"FairProof : Confidential and Certifiable Fairness for Neural Networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2402.12572","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":"sha256:8bba04badbc3ba02f0e02b968cd393f3c185df14cdc786b54c62b8dbdf5cab3a","target":"record","created_at":"2026-07-05T08:44:12Z","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":"4401396a166892d6006114439c214ea4bd33adb920733aee9ce6a17fc7afd88f","cross_cats_sorted":["cs.AI","cs.CR"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-02-19T21:53:43Z","title_canon_sha256":"cfbe87ce9cece4d3c18abb6c7404efca7bc5a0b6e64eb6a2b179b93e90d028ba"},"schema_version":"1.0","source":{"id":"2402.12572","kind":"arxiv","version":2}},"canonical_sha256":"f74b4fad2845770c6ce502097e1418ee4798ad0385b74201838036d2f7967df2","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f74b4fad2845770c6ce502097e1418ee4798ad0385b74201838036d2f7967df2","first_computed_at":"2026-07-05T08:44:12.340211Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:44:12.340211Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"pDHoIRsPaFCdaPVAS9sD3lcMLMdtH7IyIApuQpEMXz5wy+O6es1P2cotWS7MVk743zt18q/+SLH1SNsynpezDA==","signature_status":"signed_v1","signed_at":"2026-07-05T08:44:12.340711Z","signed_message":"canonical_sha256_bytes"},"source_id":"2402.12572","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8bba04badbc3ba02f0e02b968cd393f3c185df14cdc786b54c62b8dbdf5cab3a","sha256:1a43722e8d4649123519c90c6d644bb9768f8e5dce1728a368d7476d645995ac"],"state_sha256":"2c5fc798445993e81f5f86ce96acacd218f8d250974cc1f11d442dba6c5bcb9e"}