{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:D7N34NLAA554ULJE5BLNZMMVHS","short_pith_number":"pith:D7N34NLA","canonical_record":{"source":{"id":"2209.14987","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-09-29T17:50:23Z","cross_cats_sorted":["cs.CR"],"title_canon_sha256":"02c216c04b134f9369b089a5d3a13c269f8566e8c7fa280ce003b6d29e51ef4e","abstract_canon_sha256":"a15d8a505b2ad286415838f401dc0724f0f03f80ab8324f3a2e66bb82a5c38ee"},"schema_version":"1.0"},"canonical_sha256":"1fdbbe3560077bca2d24e856dcb1953cba29b2de592b0eddc8cc2794869a81bf","source":{"kind":"arxiv","id":"2209.14987","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2209.14987","created_at":"2026-07-05T05:02:07Z"},{"alias_kind":"arxiv_version","alias_value":"2209.14987v1","created_at":"2026-07-05T05:02:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2209.14987","created_at":"2026-07-05T05:02:07Z"},{"alias_kind":"pith_short_12","alias_value":"D7N34NLAA554","created_at":"2026-07-05T05:02:07Z"},{"alias_kind":"pith_short_16","alias_value":"D7N34NLAA554ULJE","created_at":"2026-07-05T05:02:07Z"},{"alias_kind":"pith_short_8","alias_value":"D7N34NLA","created_at":"2026-07-05T05:02:07Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:D7N34NLAA554ULJE5BLNZMMVHS","target":"record","payload":{"canonical_record":{"source":{"id":"2209.14987","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-09-29T17:50:23Z","cross_cats_sorted":["cs.CR"],"title_canon_sha256":"02c216c04b134f9369b089a5d3a13c269f8566e8c7fa280ce003b6d29e51ef4e","abstract_canon_sha256":"a15d8a505b2ad286415838f401dc0724f0f03f80ab8324f3a2e66bb82a5c38ee"},"schema_version":"1.0"},"canonical_sha256":"1fdbbe3560077bca2d24e856dcb1953cba29b2de592b0eddc8cc2794869a81bf","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:02:07.548447Z","signature_b64":"/LqQDdRWDYgazD7LOH1ZIbWAr/nMR8JQNNK9igleNjb85X2C7D35UBmKHhthM9wO2VCMV0ko630IhpJCSwvABA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1fdbbe3560077bca2d24e856dcb1953cba29b2de592b0eddc8cc2794869a81bf","last_reissued_at":"2026-07-05T05:02:07.548020Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:02:07.548020Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2209.14987","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T05:02:07Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"JqOOHITkvFC8YO9pcopnT5Kmx+D6tu8BLMSTjRRSSmmIcQ25z3wpFgLUFqP/3b3waj94rarp0fGtiNqJyclZDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T05:19:07.340680Z"},"content_sha256":"dd917afce9704b91891cb474ea79b16035b102a6f6330bc689131dd9dee313cd","schema_version":"1.0","event_id":"sha256:dd917afce9704b91891cb474ea79b16035b102a6f6330bc689131dd9dee313cd"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:D7N34NLAA554ULJE5BLNZMMVHS","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"No Free Lunch in \"Privacy for Free: How does Dataset Condensation Help Privacy\"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CR"],"primary_cat":"cs.LG","authors_text":"Milad Nasr, Nicholas Carlini, Vitaly Feldman","submitted_at":"2022-09-29T17:50:23Z","abstract_excerpt":"New methods designed to preserve data privacy require careful scrutiny. Failure to preserve privacy is hard to detect, and yet can lead to catastrophic results when a system implementing a ``privacy-preserving'' method is attacked. A recent work selected for an Outstanding Paper Award at ICML 2022 (Dong et al., 2022) claims that dataset condensation (DC) significantly improves data privacy when training machine learning models. This claim is supported by theoretical analysis of a specific dataset condensation technique and an empirical evaluation of resistance to some existing membership infer"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2209.14987","kind":"arxiv","version":1},"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/2209.14987/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":"2026-07-05T05:02:07Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"iKzY0VaYnBggZ1+JzTKl2CmuvKZX2ZFpKQDMbzou0rXPRG6VBRObjtxY8PGnM4/WE1aUOmJYpeatvJdcDmzJDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T05:19:07.341585Z"},"content_sha256":"b4ea5ffe3078209e9d7f92a858163e919d8d4eac87e8aad37b719c5e1167db58","schema_version":"1.0","event_id":"sha256:b4ea5ffe3078209e9d7f92a858163e919d8d4eac87e8aad37b719c5e1167db58"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/D7N34NLAA554ULJE5BLNZMMVHS/bundle.json","state_url":"https://pith.science/pith/D7N34NLAA554ULJE5BLNZMMVHS/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/D7N34NLAA554ULJE5BLNZMMVHS/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":"2026-08-10T05:19:07Z","links":{"resolver":"https://pith.science/pith/D7N34NLAA554ULJE5BLNZMMVHS","bundle":"https://pith.science/pith/D7N34NLAA554ULJE5BLNZMMVHS/bundle.json","state":"https://pith.science/pith/D7N34NLAA554ULJE5BLNZMMVHS/state.json","well_known_bundle":"https://pith.science/.well-known/pith/D7N34NLAA554ULJE5BLNZMMVHS/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:D7N34NLAA554ULJE5BLNZMMVHS","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":"a15d8a505b2ad286415838f401dc0724f0f03f80ab8324f3a2e66bb82a5c38ee","cross_cats_sorted":["cs.CR"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-09-29T17:50:23Z","title_canon_sha256":"02c216c04b134f9369b089a5d3a13c269f8566e8c7fa280ce003b6d29e51ef4e"},"schema_version":"1.0","source":{"id":"2209.14987","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2209.14987","created_at":"2026-07-05T05:02:07Z"},{"alias_kind":"arxiv_version","alias_value":"2209.14987v1","created_at":"2026-07-05T05:02:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2209.14987","created_at":"2026-07-05T05:02:07Z"},{"alias_kind":"pith_short_12","alias_value":"D7N34NLAA554","created_at":"2026-07-05T05:02:07Z"},{"alias_kind":"pith_short_16","alias_value":"D7N34NLAA554ULJE","created_at":"2026-07-05T05:02:07Z"},{"alias_kind":"pith_short_8","alias_value":"D7N34NLA","created_at":"2026-07-05T05:02:07Z"}],"graph_snapshots":[{"event_id":"sha256:b4ea5ffe3078209e9d7f92a858163e919d8d4eac87e8aad37b719c5e1167db58","target":"graph","created_at":"2026-07-05T05:02:07Z","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/2209.14987/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"New methods designed to preserve data privacy require careful scrutiny. Failure to preserve privacy is hard to detect, and yet can lead to catastrophic results when a system implementing a ``privacy-preserving'' method is attacked. A recent work selected for an Outstanding Paper Award at ICML 2022 (Dong et al., 2022) claims that dataset condensation (DC) significantly improves data privacy when training machine learning models. This claim is supported by theoretical analysis of a specific dataset condensation technique and an empirical evaluation of resistance to some existing membership infer","authors_text":"Milad Nasr, Nicholas Carlini, Vitaly Feldman","cross_cats":["cs.CR"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-09-29T17:50:23Z","title":"No Free Lunch in \"Privacy for Free: How does Dataset Condensation Help Privacy\""},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2209.14987","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:dd917afce9704b91891cb474ea79b16035b102a6f6330bc689131dd9dee313cd","target":"record","created_at":"2026-07-05T05:02:07Z","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":"a15d8a505b2ad286415838f401dc0724f0f03f80ab8324f3a2e66bb82a5c38ee","cross_cats_sorted":["cs.CR"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-09-29T17:50:23Z","title_canon_sha256":"02c216c04b134f9369b089a5d3a13c269f8566e8c7fa280ce003b6d29e51ef4e"},"schema_version":"1.0","source":{"id":"2209.14987","kind":"arxiv","version":1}},"canonical_sha256":"1fdbbe3560077bca2d24e856dcb1953cba29b2de592b0eddc8cc2794869a81bf","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1fdbbe3560077bca2d24e856dcb1953cba29b2de592b0eddc8cc2794869a81bf","first_computed_at":"2026-07-05T05:02:07.548020Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:02:07.548020Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"/LqQDdRWDYgazD7LOH1ZIbWAr/nMR8JQNNK9igleNjb85X2C7D35UBmKHhthM9wO2VCMV0ko630IhpJCSwvABA==","signature_status":"signed_v1","signed_at":"2026-07-05T05:02:07.548447Z","signed_message":"canonical_sha256_bytes"},"source_id":"2209.14987","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:dd917afce9704b91891cb474ea79b16035b102a6f6330bc689131dd9dee313cd","sha256:b4ea5ffe3078209e9d7f92a858163e919d8d4eac87e8aad37b719c5e1167db58"],"state_sha256":"e62743f7fcfd6e717b1d24e89e24871a7ed3940876a9b523dee56de6352d4a02"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ZfHVdjdBGDbbJkuXEj3RkSzh2vQtviqwkWknYTn/oZn/5O1rL3bVBNBNYKmFdh0S/BJEomHnA1xyzQ/NSMxBAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-10T05:19:07.346410Z","bundle_sha256":"8eb3de1cf8f9f8c682ab2f1730317088bedb237f5f87ade12ed81bf748a3dfe0"}}