{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:FOIHYSL5A6NJGEVLCJ4DCIEVIH","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":"f6c4c36583095de248e94981d15ba8b8be9673fd89a231a6bf17f774a0af4695","cross_cats_sorted":["cs.CR","cs.DS","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-06-06T13:49:37Z","title_canon_sha256":"039846df7d2c7953a8e4ae367afde532ed1e13125a90b06b864b9ad17a856cfe"},"schema_version":"1.0","source":{"id":"2206.02617","kind":"arxiv","version":7}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2206.02617","created_at":"2026-07-05T08:48:09Z"},{"alias_kind":"arxiv_version","alias_value":"2206.02617v7","created_at":"2026-07-05T08:48:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2206.02617","created_at":"2026-07-05T08:48:09Z"},{"alias_kind":"pith_short_12","alias_value":"FOIHYSL5A6NJ","created_at":"2026-07-05T08:48:09Z"},{"alias_kind":"pith_short_16","alias_value":"FOIHYSL5A6NJGEVL","created_at":"2026-07-05T08:48:09Z"},{"alias_kind":"pith_short_8","alias_value":"FOIHYSL5","created_at":"2026-07-05T08:48:09Z"}],"graph_snapshots":[{"event_id":"sha256:b8a72bb8b651fdf3d098a4984ca610bd92193b7d6c3c1d9843824b4fb36d9c18","target":"graph","created_at":"2026-07-05T08:48:09Z","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/2206.02617/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Differentially private stochastic gradient descent (DP-SGD) is the workhorse algorithm for recent advances in private deep learning. It provides a single privacy guarantee to all datapoints in the dataset. We propose output-specific $(\\varepsilon,\\delta)$-DP to characterize privacy guarantees for individual examples when releasing models trained by DP-SGD. We also design an efficient algorithm to investigate individual privacy across a number of datasets. We find that most examples enjoy stronger privacy guarantees than the worst-case bound. We further discover that the training loss and the p","authors_text":"Da Yu, Gautam Kamath, Huishuai Zhang, Janardhan Kulkarni, Jian Yin, Tie-Yan Liu","cross_cats":["cs.CR","cs.DS","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-06-06T13:49:37Z","title":"Individual Privacy Accounting for Differentially Private Stochastic Gradient Descent"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2206.02617","kind":"arxiv","version":7},"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":"sha256:6d32ea94422978426cc8e1d1f591e32aa298cc0a3da78f3c4355f3932203e2c9","target":"record","created_at":"2026-07-05T08:48:09Z","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":"f6c4c36583095de248e94981d15ba8b8be9673fd89a231a6bf17f774a0af4695","cross_cats_sorted":["cs.CR","cs.DS","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-06-06T13:49:37Z","title_canon_sha256":"039846df7d2c7953a8e4ae367afde532ed1e13125a90b06b864b9ad17a856cfe"},"schema_version":"1.0","source":{"id":"2206.02617","kind":"arxiv","version":7}},"canonical_sha256":"2b907c497d079a9312ab127831209541e8479c4e1cef931d01cc34528ab3fcdb","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2b907c497d079a9312ab127831209541e8479c4e1cef931d01cc34528ab3fcdb","first_computed_at":"2026-07-05T08:48:09.434306Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:48:09.434306Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"B/Oi8/za9I28imVnGf2l+E1k3ep3QqqZjWZ9hFAT708DF5LObkAtu9rIWOFXD4qqsbTUU4/9ZWv1ohnNxbtADw==","signature_status":"signed_v1","signed_at":"2026-07-05T08:48:09.434835Z","signed_message":"canonical_sha256_bytes"},"source_id":"2206.02617","source_kind":"arxiv","source_version":7}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6d32ea94422978426cc8e1d1f591e32aa298cc0a3da78f3c4355f3932203e2c9","sha256:b8a72bb8b651fdf3d098a4984ca610bd92193b7d6c3c1d9843824b4fb36d9c18"],"state_sha256":"dea12563bacc5f74ab69a525488eed7f031fd2b52fb5326e25e2a4cdd0953d8d"}