{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:TNR5HAJV2RVGIJYYZYGFZXHYUJ","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":"82df20a04993a7bd10abc49c37686b26c8aaae31d0c09627e5617047667da3bf","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2021-02-11T12:33:19Z","title_canon_sha256":"a8a28229da76316febfebf113e416183fecfe074b5d8c9530ec4f4762efa9cc5"},"schema_version":"1.0","source":{"id":"2102.05975","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2102.05975","created_at":"2026-07-05T02:14:36Z"},{"alias_kind":"arxiv_version","alias_value":"2102.05975v1","created_at":"2026-07-05T02:14:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2102.05975","created_at":"2026-07-05T02:14:36Z"},{"alias_kind":"pith_short_12","alias_value":"TNR5HAJV2RVG","created_at":"2026-07-05T02:14:36Z"},{"alias_kind":"pith_short_16","alias_value":"TNR5HAJV2RVGIJYY","created_at":"2026-07-05T02:14:36Z"},{"alias_kind":"pith_short_8","alias_value":"TNR5HAJV","created_at":"2026-07-05T02:14:36Z"}],"graph_snapshots":[{"event_id":"sha256:bfb8fc263a7673ce6896a83967d36b13ccaf8a7b28132223faf4da3190621612","target":"graph","created_at":"2026-07-05T02:14:36Z","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/2102.05975/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"To enable an ethical and legal use of machine learning algorithms, they must both be fair and protect the privacy of those whose data are being used. However, implementing privacy and fairness constraints might come at the cost of utility (Jayaraman & Evans, 2019; Gong et al., 2020). This paper investigates the privacy-utility-fairness trade-off in neural networks by comparing a Simple (S-NN), a Fair (F-NN), a Differentially Private (DP-NN), and a Differentially Private and Fair Neural Network (DPF-NN) to evaluate differences in performance on metrics for privacy (epsilon, delta), fairness (ri","authors_text":"Giacomo Spigler, Marlotte Pannekoek","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2021-02-11T12:33:19Z","title":"Investigating Trade-offs in Utility, Fairness and Differential Privacy in Neural Networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2102.05975","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":"sha256:0445cdb900a32af9df5781ef790d5fb77799848893ce90f8785a3439ddefea3a","target":"record","created_at":"2026-07-05T02:14:36Z","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":"82df20a04993a7bd10abc49c37686b26c8aaae31d0c09627e5617047667da3bf","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2021-02-11T12:33:19Z","title_canon_sha256":"a8a28229da76316febfebf113e416183fecfe074b5d8c9530ec4f4762efa9cc5"},"schema_version":"1.0","source":{"id":"2102.05975","kind":"arxiv","version":1}},"canonical_sha256":"9b63d38135d46a642718ce0c5cdcf8a27ea495db0e54e168388409a0dbc686be","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9b63d38135d46a642718ce0c5cdcf8a27ea495db0e54e168388409a0dbc686be","first_computed_at":"2026-07-05T02:14:36.297052Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:14:36.297052Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"LSShq+kabOBhom8sHeb3iY3XyQJ9dnNWeztSGEg7pe6ccJ0zHbP5fq82bv+F1d5yU8RaTIiJmHblwu7HpexyAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T02:14:36.297486Z","signed_message":"canonical_sha256_bytes"},"source_id":"2102.05975","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0445cdb900a32af9df5781ef790d5fb77799848893ce90f8785a3439ddefea3a","sha256:bfb8fc263a7673ce6896a83967d36b13ccaf8a7b28132223faf4da3190621612"],"state_sha256":"8fcb1d3136e630699d99753f7d8079325d8ef8bb05bb80a23edad18b5c7b1bd3"}