{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:ABUNJFO2O2HCWEP7BLUFAIX7QZ","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":"2a5beb9ad15f0c1116c8730baa244c09d1853e2837b49870821fca5d25e407ef","cross_cats_sorted":["cs.CR","cs.LG","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-06-08T04:14:32Z","title_canon_sha256":"ad1730d56444646d315f9d759ca93a14a2e4b17ad7a565950456e176ab005e92"},"schema_version":"1.0","source":{"id":"2306.06076","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2306.06076","created_at":"2026-07-05T07:07:11Z"},{"alias_kind":"arxiv_version","alias_value":"2306.06076v2","created_at":"2026-07-05T07:07:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2306.06076","created_at":"2026-07-05T07:07:11Z"},{"alias_kind":"pith_short_12","alias_value":"ABUNJFO2O2HC","created_at":"2026-07-05T07:07:11Z"},{"alias_kind":"pith_short_16","alias_value":"ABUNJFO2O2HCWEP7","created_at":"2026-07-05T07:07:11Z"},{"alias_kind":"pith_short_8","alias_value":"ABUNJFO2","created_at":"2026-07-05T07:07:11Z"}],"graph_snapshots":[{"event_id":"sha256:d6680bc5017ab5808ef1d2f10daee6959c648e4baf3637d625e7cba3e921b4c1","target":"graph","created_at":"2026-07-05T07:07:11Z","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/2306.06076/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In privacy-preserving machine learning, differentially private stochastic gradient descent (DP-SGD) performs worse than SGD due to per-sample gradient clipping and noise addition. A recent focus in private learning research is improving the performance of DP-SGD on private data by incorporating priors that are learned on real-world public data. In this work, we explore how we can improve the privacy-utility tradeoff of DP-SGD by learning priors from images generated by random processes and transferring these priors to private data. We propose DP-RandP, a three-phase approach. We attain new sta","authors_text":"Ashwinee Panda, Prateek Mittal, Vikash Sehwag, Xinyu Tang","cross_cats":["cs.CR","cs.LG","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-06-08T04:14:32Z","title":"Differentially Private Image Classification by Learning Priors from Random Processes"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2306.06076","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":"sha256:09f3eb37984090b79464ad1e4f9d564e270f242bfa403248b00d3baa93e6b649","target":"record","created_at":"2026-07-05T07:07:11Z","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":"2a5beb9ad15f0c1116c8730baa244c09d1853e2837b49870821fca5d25e407ef","cross_cats_sorted":["cs.CR","cs.LG","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-06-08T04:14:32Z","title_canon_sha256":"ad1730d56444646d315f9d759ca93a14a2e4b17ad7a565950456e176ab005e92"},"schema_version":"1.0","source":{"id":"2306.06076","kind":"arxiv","version":2}},"canonical_sha256":"0068d495da768e2b11ff0ae85022ff867584da81d793ea693d7adbfce2f7b67e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0068d495da768e2b11ff0ae85022ff867584da81d793ea693d7adbfce2f7b67e","first_computed_at":"2026-07-05T07:07:11.986609Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:07:11.986609Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"yDpAum1CSAXCOgO7T3Ji4cBsntDnWa5anoVGMJyM/1yItKcm+vngcOA851LP9egXIBwpehPcAD/AgGSKs93kBw==","signature_status":"signed_v1","signed_at":"2026-07-05T07:07:11.987927Z","signed_message":"canonical_sha256_bytes"},"source_id":"2306.06076","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:09f3eb37984090b79464ad1e4f9d564e270f242bfa403248b00d3baa93e6b649","sha256:d6680bc5017ab5808ef1d2f10daee6959c648e4baf3637d625e7cba3e921b4c1"],"state_sha256":"f23e7c576012ca2c45a693de07f0da2c7b41771eb7848a75cb1abcb7bf88b239"}