{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:BBIBN67UAPKIZROG4Z5CHGX7PV","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":"981c28cf77f151c411b60b82a620dc764c66256d3b84e7dde3d2d80facde3613","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-02-17T23:38:29Z","title_canon_sha256":"4558b3f56f373ed47f5d8623b80f439daa13cdae29da911d832c197c63c86b73"},"schema_version":"1.0","source":{"id":"1802.06309","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1802.06309","created_at":"2026-05-18T00:02:45Z"},{"alias_kind":"arxiv_version","alias_value":"1802.06309v3","created_at":"2026-05-18T00:02:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1802.06309","created_at":"2026-05-18T00:02:45Z"},{"alias_kind":"pith_short_12","alias_value":"BBIBN67UAPKI","created_at":"2026-05-18T12:32:13Z"},{"alias_kind":"pith_short_16","alias_value":"BBIBN67UAPKIZROG","created_at":"2026-05-18T12:32:13Z"},{"alias_kind":"pith_short_8","alias_value":"BBIBN67U","created_at":"2026-05-18T12:32:13Z"}],"graph_snapshots":[{"event_id":"sha256:6f417f4be5238e1ec088f0021723a453d248fef4bd193c3e7955659f93d02082","target":"graph","created_at":"2026-05-18T00:02:45Z","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":"In this paper, we advocate for representation learning as the key to mitigating unfair prediction outcomes downstream. Motivated by a scenario where learned representations are used by third parties with unknown objectives, we propose and explore adversarial representation learning as a natural method of ensuring those parties act fairly. We connect group fairness (demographic parity, equalized odds, and equal opportunity) to different adversarial objectives. Through worst-case theoretical guarantees and experimental validation, we show that the choice of this objective is crucial to fair pred","authors_text":"David Madras, Elliot Creager, Richard Zemel, Toniann Pitassi","cross_cats":["stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-02-17T23:38:29Z","title":"Learning Adversarially Fair and Transferable Representations"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1802.06309","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":"sha256:5630e16dfaf193b6cc54d23535681e978c84a3d2df28b3e87cda3933a88c56cc","target":"record","created_at":"2026-05-18T00:02:45Z","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":"981c28cf77f151c411b60b82a620dc764c66256d3b84e7dde3d2d80facde3613","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-02-17T23:38:29Z","title_canon_sha256":"4558b3f56f373ed47f5d8623b80f439daa13cdae29da911d832c197c63c86b73"},"schema_version":"1.0","source":{"id":"1802.06309","kind":"arxiv","version":3}},"canonical_sha256":"085016fbf403d48cc5c6e67a239aff7d7e5c3a81efc504c94ee6af29f675c353","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"085016fbf403d48cc5c6e67a239aff7d7e5c3a81efc504c94ee6af29f675c353","first_computed_at":"2026-05-18T00:02:45.211958Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:02:45.211958Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"yoZWNTR91aMexjfObTDSVLvY3k5S1ICDVsYA1hdxxZ++oB/MYlgQm3Fu5kWT8Z4Q4uqTahdJoHBBjreN4mnOBA==","signature_status":"signed_v1","signed_at":"2026-05-18T00:02:45.212386Z","signed_message":"canonical_sha256_bytes"},"source_id":"1802.06309","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5630e16dfaf193b6cc54d23535681e978c84a3d2df28b3e87cda3933a88c56cc","sha256:6f417f4be5238e1ec088f0021723a453d248fef4bd193c3e7955659f93d02082"],"state_sha256":"1e6e9394c99918139e0f3e32609b4f6b172df901a6d27231a638284d4b0de0a9"}