{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:ATXRKZ7HGLB7GPVFTHYFZYC542","short_pith_number":"pith:ATXRKZ7H","canonical_record":{"source":{"id":"2102.08788","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2021-02-17T14:30:22Z","cross_cats_sorted":["cs.CR"],"title_canon_sha256":"9feda12ad295e28b4b246308e4094d920ac808b3f67690f3a14ecc4f1550b03f","abstract_canon_sha256":"082ec4af5bdce9ac8c0a23d7cc3b7f6ebb29bf6173bd43d5189acc8ae77ecb9c"},"schema_version":"1.0"},"canonical_sha256":"04ef1567e732c3f33ea599f05ce05de6938b72f461eeeaebab655c7b61fddd54","source":{"kind":"arxiv","id":"2102.08788","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2102.08788","created_at":"2026-07-05T06:21:02Z"},{"alias_kind":"arxiv_version","alias_value":"2102.08788v3","created_at":"2026-07-05T06:21:02Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2102.08788","created_at":"2026-07-05T06:21:02Z"},{"alias_kind":"pith_short_12","alias_value":"ATXRKZ7HGLB7","created_at":"2026-07-05T06:21:02Z"},{"alias_kind":"pith_short_16","alias_value":"ATXRKZ7HGLB7GPVF","created_at":"2026-07-05T06:21:02Z"},{"alias_kind":"pith_short_8","alias_value":"ATXRKZ7H","created_at":"2026-07-05T06:21:02Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:ATXRKZ7HGLB7GPVFTHYFZYC542","target":"record","payload":{"canonical_record":{"source":{"id":"2102.08788","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2021-02-17T14:30:22Z","cross_cats_sorted":["cs.CR"],"title_canon_sha256":"9feda12ad295e28b4b246308e4094d920ac808b3f67690f3a14ecc4f1550b03f","abstract_canon_sha256":"082ec4af5bdce9ac8c0a23d7cc3b7f6ebb29bf6173bd43d5189acc8ae77ecb9c"},"schema_version":"1.0"},"canonical_sha256":"04ef1567e732c3f33ea599f05ce05de6938b72f461eeeaebab655c7b61fddd54","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:21:02.885458Z","signature_b64":"7rgOjoqJXijxNRTlADCRslJrRyRTXN4Ws9q+SiKaYz2PlVQKhHl3acXLa5u5MpHWBGfQwOtm9UWeTCfkqc2DCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"04ef1567e732c3f33ea599f05ce05de6938b72f461eeeaebab655c7b61fddd54","last_reissued_at":"2026-07-05T06:21:02.885072Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:21:02.885072Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2102.08788","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":"2026-07-05T06:21:02Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qM1XXhd0uY5qs30v0DvgeDprDrA5OourbEdk4P8tHdSnqNbGe8oSXwUb/1WTLR4dqphJPzbLhop4xC8/3/QpDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T07:25:15.635345Z"},"content_sha256":"93a949d629d67d7fa15202eaae548627c6774a0361766782900346aa6ceb126a","schema_version":"1.0","event_id":"sha256:93a949d629d67d7fa15202eaae548627c6774a0361766782900346aa6ceb126a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:ATXRKZ7HGLB7GPVFTHYFZYC542","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"ppAURORA: Privacy Preserving Area Under Receiver Operating Characteristic and Precision-Recall Curves","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CR"],"primary_cat":"cs.LG","authors_text":"Ali Burak \\\"Unal, Mete Akg\\\"un, Nico Pfeifer","submitted_at":"2021-02-17T14:30:22Z","abstract_excerpt":"Computing an AUC as a performance measure to compare the quality of different machine learning models is one of the final steps of many research projects. Many of these methods are trained on privacy-sensitive data and there are several different approaches like $\\epsilon$-differential privacy, federated machine learning and cryptography if the datasets cannot be shared or used jointly at one place for training and/or testing. In this setting, it can also be a problem to compute the global AUC, since the labels might also contain privacy-sensitive information. There have been approaches based "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2102.08788","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/2102.08788/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":"2026-07-05T06:21:02Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"SBcv3JzHyPFzFkmgeuETDz9yjdvr31xKE+rfkF8BU7h6SMU+khjkpxcOI0s4ZTp9ZLsLV23eoOTQQZIU6ImtCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T07:25:15.636012Z"},"content_sha256":"d90e2faa60da6cab3c0a4bcff16e007cf5b17a0fb33705a5834bda52593bac69","schema_version":"1.0","event_id":"sha256:d90e2faa60da6cab3c0a4bcff16e007cf5b17a0fb33705a5834bda52593bac69"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ATXRKZ7HGLB7GPVFTHYFZYC542/bundle.json","state_url":"https://pith.science/pith/ATXRKZ7HGLB7GPVFTHYFZYC542/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ATXRKZ7HGLB7GPVFTHYFZYC542/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":"2026-07-07T07:25:15Z","links":{"resolver":"https://pith.science/pith/ATXRKZ7HGLB7GPVFTHYFZYC542","bundle":"https://pith.science/pith/ATXRKZ7HGLB7GPVFTHYFZYC542/bundle.json","state":"https://pith.science/pith/ATXRKZ7HGLB7GPVFTHYFZYC542/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ATXRKZ7HGLB7GPVFTHYFZYC542/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:ATXRKZ7HGLB7GPVFTHYFZYC542","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":"082ec4af5bdce9ac8c0a23d7cc3b7f6ebb29bf6173bd43d5189acc8ae77ecb9c","cross_cats_sorted":["cs.CR"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2021-02-17T14:30:22Z","title_canon_sha256":"9feda12ad295e28b4b246308e4094d920ac808b3f67690f3a14ecc4f1550b03f"},"schema_version":"1.0","source":{"id":"2102.08788","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2102.08788","created_at":"2026-07-05T06:21:02Z"},{"alias_kind":"arxiv_version","alias_value":"2102.08788v3","created_at":"2026-07-05T06:21:02Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2102.08788","created_at":"2026-07-05T06:21:02Z"},{"alias_kind":"pith_short_12","alias_value":"ATXRKZ7HGLB7","created_at":"2026-07-05T06:21:02Z"},{"alias_kind":"pith_short_16","alias_value":"ATXRKZ7HGLB7GPVF","created_at":"2026-07-05T06:21:02Z"},{"alias_kind":"pith_short_8","alias_value":"ATXRKZ7H","created_at":"2026-07-05T06:21:02Z"}],"graph_snapshots":[{"event_id":"sha256:d90e2faa60da6cab3c0a4bcff16e007cf5b17a0fb33705a5834bda52593bac69","target":"graph","created_at":"2026-07-05T06:21:02Z","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/2102.08788/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Computing an AUC as a performance measure to compare the quality of different machine learning models is one of the final steps of many research projects. Many of these methods are trained on privacy-sensitive data and there are several different approaches like $\\epsilon$-differential privacy, federated machine learning and cryptography if the datasets cannot be shared or used jointly at one place for training and/or testing. In this setting, it can also be a problem to compute the global AUC, since the labels might also contain privacy-sensitive information. There have been approaches based ","authors_text":"Ali Burak \\\"Unal, Mete Akg\\\"un, Nico Pfeifer","cross_cats":["cs.CR"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2021-02-17T14:30:22Z","title":"ppAURORA: Privacy Preserving Area Under Receiver Operating Characteristic and Precision-Recall Curves"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2102.08788","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":"sha256:93a949d629d67d7fa15202eaae548627c6774a0361766782900346aa6ceb126a","target":"record","created_at":"2026-07-05T06:21:02Z","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":"082ec4af5bdce9ac8c0a23d7cc3b7f6ebb29bf6173bd43d5189acc8ae77ecb9c","cross_cats_sorted":["cs.CR"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2021-02-17T14:30:22Z","title_canon_sha256":"9feda12ad295e28b4b246308e4094d920ac808b3f67690f3a14ecc4f1550b03f"},"schema_version":"1.0","source":{"id":"2102.08788","kind":"arxiv","version":3}},"canonical_sha256":"04ef1567e732c3f33ea599f05ce05de6938b72f461eeeaebab655c7b61fddd54","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"04ef1567e732c3f33ea599f05ce05de6938b72f461eeeaebab655c7b61fddd54","first_computed_at":"2026-07-05T06:21:02.885072Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:21:02.885072Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"7rgOjoqJXijxNRTlADCRslJrRyRTXN4Ws9q+SiKaYz2PlVQKhHl3acXLa5u5MpHWBGfQwOtm9UWeTCfkqc2DCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T06:21:02.885458Z","signed_message":"canonical_sha256_bytes"},"source_id":"2102.08788","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:93a949d629d67d7fa15202eaae548627c6774a0361766782900346aa6ceb126a","sha256:d90e2faa60da6cab3c0a4bcff16e007cf5b17a0fb33705a5834bda52593bac69"],"state_sha256":"4da047ae484037fb665332c08bb78b6fade5f160f3c5875fa80d61f254e3d0d3"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"J4N9DFPQgHRChU9m3vjeVFrhX43rxfNUSxyo2dqbQf5zG1HQDGoZAjKxfiFfG3oz8T4xp20t5YA2Efyro60yDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T07:25:15.640001Z","bundle_sha256":"5934c6bbcf6b39cf64740cef05d008ca9de1568a9307a5241fa5aca3d8e0252e"}}