{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:A4JGR5TQNLTET63Q4VNO5SOG3L","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":"d4f617fb7757eef601870cfe5ae455bbe4836669ac603082bc096efbbd1f6e2e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2026-05-15T06:04:00Z","title_canon_sha256":"ef82f249f4faa909609a1d805c38a368273ec782cfb1ee3f13976b7fccef670a"},"schema_version":"1.0","source":{"id":"2605.15648","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.15648","created_at":"2026-05-20T00:01:10Z"},{"alias_kind":"arxiv_version","alias_value":"2605.15648v1","created_at":"2026-05-20T00:01:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.15648","created_at":"2026-05-20T00:01:10Z"},{"alias_kind":"pith_short_12","alias_value":"A4JGR5TQNLTE","created_at":"2026-05-20T00:01:10Z"},{"alias_kind":"pith_short_16","alias_value":"A4JGR5TQNLTET63Q","created_at":"2026-05-20T00:01:10Z"},{"alias_kind":"pith_short_8","alias_value":"A4JGR5TQ","created_at":"2026-05-20T00:01:10Z"}],"graph_snapshots":[{"event_id":"sha256:c0339112546c82e1b8f54489b80779284a832d39b9c32006c6d1e7de830b23b1","target":"graph","created_at":"2026-05-20T00:01:10Z","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":[{"findings_count":0,"name":"ai_meta_artifact","ran_at":"2026-05-19T19:33:35.319103Z","status":"skipped","version":"1.0.0"},{"findings_count":0,"name":"claim_evidence","ran_at":"2026-05-19T17:21:56.088671Z","status":"completed","version":"1.0.0"}],"endpoint":"/pith/2605.15648/integrity.json","findings":[],"snapshot_sha256":"cd6b1d5a590be0734a4b258ea16f4f125717781ba10d8a17f0f5bcc8b6dfb53d","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Differentially Private Stochastic Gradient Descent (DP-SGD) is widely used to protect training data in machine learning. Its privacy guarantee is commonly analyzed through a security game in which an adversary infers whether a target record is included in the training dataset from the mechanism output. The resulting privacy leakage is characterized by a privacy curve, which reports the false negative rate as a function of the false positive rate.\n  We identify a mismatch between this formal analysis and common DP-SGD implementations. Existing analyses often model DP-SGD and its variants as the","authors_text":"Hui Cui, Shujie Cui, Wenhao Wang, Xingliang Yuan","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2026-05-15T06:04:00Z","title":"Rethinking the Security of DP-SGD: A Corrected Analysis of Differentially Private Machine Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.15648","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":"sha256:2a08e6130029b4d56c077d4bcdfe7fdd22b2b93111f225171328940597931e98","target":"record","created_at":"2026-05-20T00:01:10Z","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":"d4f617fb7757eef601870cfe5ae455bbe4836669ac603082bc096efbbd1f6e2e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2026-05-15T06:04:00Z","title_canon_sha256":"ef82f249f4faa909609a1d805c38a368273ec782cfb1ee3f13976b7fccef670a"},"schema_version":"1.0","source":{"id":"2605.15648","kind":"arxiv","version":1}},"canonical_sha256":"071268f6706ae649fb70e55aeec9c6dae52cb325bad2e93ce8ef4521bd0d6bf8","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"071268f6706ae649fb70e55aeec9c6dae52cb325bad2e93ce8ef4521bd0d6bf8","first_computed_at":"2026-05-20T00:01:10.007024Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-20T00:01:10.007024Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"vVj3T8thKZ9vtqD0cpwiu8GPKXTrT+xxpvHk1zXhY6WAuaSjJM8ijuqa1zrBBG3RmAXEw/92xiYxhx3jW+N3AQ==","signature_status":"signed_v1","signed_at":"2026-05-20T00:01:10.007840Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.15648","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2a08e6130029b4d56c077d4bcdfe7fdd22b2b93111f225171328940597931e98","sha256:c0339112546c82e1b8f54489b80779284a832d39b9c32006c6d1e7de830b23b1"],"state_sha256":"6108b62cd16bc73cd3695fd9a9c8fb966ed2116500465c7df5e65f49f1452e8a"}