{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:FS5WDJ7ZDHRWGCV2WHX6RHYGLK","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":"b9795871effc1b660b4aff41471e7b0b41f1e18df87307ac97a137d7b3ea63df","cross_cats_sorted":["math.ST","stat.ME","stat.TH"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2025-02-10T21:58:17Z","title_canon_sha256":"727b1fc2fb52ce0fbb4d15f6c644c8039e87472543cbe1b2175494e2561f60e6"},"schema_version":"1.0","source":{"id":"2502.07066","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.07066","created_at":"2026-07-05T11:20:50Z"},{"alias_kind":"arxiv_version","alias_value":"2502.07066v2","created_at":"2026-07-05T11:20:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.07066","created_at":"2026-07-05T11:20:50Z"},{"alias_kind":"pith_short_12","alias_value":"FS5WDJ7ZDHRW","created_at":"2026-07-05T11:20:50Z"},{"alias_kind":"pith_short_16","alias_value":"FS5WDJ7ZDHRWGCV2","created_at":"2026-07-05T11:20:50Z"},{"alias_kind":"pith_short_8","alias_value":"FS5WDJ7Z","created_at":"2026-07-05T11:20:50Z"}],"graph_snapshots":[{"event_id":"sha256:5c3dd33adb269af1457ae8fa60556cbc56ca14268765b88d37529c772a1fd88f","target":"graph","created_at":"2026-07-05T11:20:50Z","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/2502.07066/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In this paper we propose new methods to statistically assess $f$-Differential Privacy ($f$-DP), a recent refinement of differential privacy (DP) that remedies certain weaknesses of standard DP (including tightness under algorithmic composition). A challenge when deploying differentially private mechanisms is that DP is hard to validate, especially in the black-box setting. This has led to numerous empirical methods for auditing standard DP, while $f$-DP remains less explored. We introduce new black-box methods for $f$-DP that, unlike existing approaches for this privacy notion, do not require ","authors_text":"(2) Aarhus University, (3) University of Victoria, (4) Georgia Institute of Technology), Holger Dette (1), Martin Dunsche (1), \\\"Onder Askin (1), Tim Kutta (2), Vassilis Zikas (4) ((1) Ruhr-University Bochum, Yun Lu (3), Yu Wei (4)","cross_cats":["math.ST","stat.ME","stat.TH"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2025-02-10T21:58:17Z","title":"General-Purpose $f$-DP Estimation and Auditing in a Black-Box Setting"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.07066","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:adad1935315b71fb8bc04897dce79cf1e4fecb642c31e6eaa03b9341ff464920","target":"record","created_at":"2026-07-05T11:20:50Z","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":"b9795871effc1b660b4aff41471e7b0b41f1e18df87307ac97a137d7b3ea63df","cross_cats_sorted":["math.ST","stat.ME","stat.TH"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2025-02-10T21:58:17Z","title_canon_sha256":"727b1fc2fb52ce0fbb4d15f6c644c8039e87472543cbe1b2175494e2561f60e6"},"schema_version":"1.0","source":{"id":"2502.07066","kind":"arxiv","version":2}},"canonical_sha256":"2cbb61a7f919e3630abab1efe89f065a8132cab26504cbf33452cc34ce67a15d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2cbb61a7f919e3630abab1efe89f065a8132cab26504cbf33452cc34ce67a15d","first_computed_at":"2026-07-05T11:20:50.698339Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:20:50.698339Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"6isn5x9GJBz+XhgQvSuh7q9oiQ9qDBYnTSscesNVZXldsP3CQpqCwb1jQ+Nl8zsk99knEfhulX5hROEzGLK5Dg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:20:50.698857Z","signed_message":"canonical_sha256_bytes"},"source_id":"2502.07066","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:adad1935315b71fb8bc04897dce79cf1e4fecb642c31e6eaa03b9341ff464920","sha256:5c3dd33adb269af1457ae8fa60556cbc56ca14268765b88d37529c772a1fd88f"],"state_sha256":"01999889ef9a170ad2fd00247619a1644ee12b5456edb5b4e37841393eb5abbd"}