{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2012:IOCUNUE7QUBFL33YXZRMTDACIW","short_pith_number":"pith:IOCUNUE7","canonical_record":{"source":{"id":"1210.2123","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2012-10-08T01:07:48Z","cross_cats_sorted":["cs.CR","math.IT"],"title_canon_sha256":"27718a77756fad81a38b186946ac279e5b6b44534bca87bc2b26b5600600b4d4","abstract_canon_sha256":"7bcd072d9fae7daed0ab58352ba2e7f1a3fff7ef30dc0dde32e865743563f2e5"},"schema_version":"1.0"},"canonical_sha256":"438546d09f850255ef78be62c98c0245896e6718e05e900f965a9bd44b393b25","source":{"kind":"arxiv","id":"1210.2123","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1210.2123","created_at":"2026-05-18T03:43:51Z"},{"alias_kind":"arxiv_version","alias_value":"1210.2123v1","created_at":"2026-05-18T03:43:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1210.2123","created_at":"2026-05-18T03:43:51Z"},{"alias_kind":"pith_short_12","alias_value":"IOCUNUE7QUBF","created_at":"2026-05-18T12:27:09Z"},{"alias_kind":"pith_short_16","alias_value":"IOCUNUE7QUBFL33Y","created_at":"2026-05-18T12:27:09Z"},{"alias_kind":"pith_short_8","alias_value":"IOCUNUE7","created_at":"2026-05-18T12:27:09Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2012:IOCUNUE7QUBFL33YXZRMTDACIW","target":"record","payload":{"canonical_record":{"source":{"id":"1210.2123","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2012-10-08T01:07:48Z","cross_cats_sorted":["cs.CR","math.IT"],"title_canon_sha256":"27718a77756fad81a38b186946ac279e5b6b44534bca87bc2b26b5600600b4d4","abstract_canon_sha256":"7bcd072d9fae7daed0ab58352ba2e7f1a3fff7ef30dc0dde32e865743563f2e5"},"schema_version":"1.0"},"canonical_sha256":"438546d09f850255ef78be62c98c0245896e6718e05e900f965a9bd44b393b25","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T03:43:51.062053Z","signature_b64":"79Pzsv7PfO0WKilS8A1O8+ztgJSLUI/fEm887hfSdAwdJzzTTkRCTPCOku4K2O4F9RP6gLu0tP6uGBbfmTZBDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"438546d09f850255ef78be62c98c0245896e6718e05e900f965a9bd44b393b25","last_reissued_at":"2026-05-18T03:43:51.061590Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T03:43:51.061590Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1210.2123","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":"2026-05-18T03:43:51Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"re/9IflOjmV5OwlXWs5iCA49ITv1oawbGkQQ2yrhVsmXvV7ybFpn7cHM2yevzyBVddyWbTSufZIXXfSeidPiCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-30T03:59:16.886078Z"},"content_sha256":"ad9c247605f4492518bd3c36c79b826c891b2197647388d7e53caae621556836","schema_version":"1.0","event_id":"sha256:ad9c247605f4492518bd3c36c79b826c891b2197647388d7e53caae621556836"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2012:IOCUNUE7QUBFL33YXZRMTDACIW","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Privacy Against Statistical Inference","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CR","math.IT"],"primary_cat":"cs.IT","authors_text":"Flavio du Pin Calmon, Nadia Fawaz","submitted_at":"2012-10-08T01:07:48Z","abstract_excerpt":"We propose a general statistical inference framework to capture the privacy threat incurred by a user that releases data to a passive but curious adversary, given utility constraints. We show that applying this general framework to the setting where the adversary uses the self-information cost function naturally leads to a non-asymptotic information-theoretic approach for characterizing the best achievable privacy subject to utility constraints. Based on these results we introduce two privacy metrics, namely average information leakage and maximum information leakage. We prove that under both "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1210.2123","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":""},"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":"2026-05-18T03:43:51Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"fUBp0ORY/N9CfU2FqJbOfjnfe7YQEa6+HCvCCi3cW25Nnrz4NzFvP2uznAbtn8GzKC4IiEGQ9dtA1JkdPtchCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-30T03:59:16.886437Z"},"content_sha256":"7b42ea1870c81d0265ac202f53af46b2fe174c9444086b38495e5e5297a5e7af","schema_version":"1.0","event_id":"sha256:7b42ea1870c81d0265ac202f53af46b2fe174c9444086b38495e5e5297a5e7af"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/IOCUNUE7QUBFL33YXZRMTDACIW/bundle.json","state_url":"https://pith.science/pith/IOCUNUE7QUBFL33YXZRMTDACIW/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/IOCUNUE7QUBFL33YXZRMTDACIW/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":"2026-05-30T03:59:16Z","links":{"resolver":"https://pith.science/pith/IOCUNUE7QUBFL33YXZRMTDACIW","bundle":"https://pith.science/pith/IOCUNUE7QUBFL33YXZRMTDACIW/bundle.json","state":"https://pith.science/pith/IOCUNUE7QUBFL33YXZRMTDACIW/state.json","well_known_bundle":"https://pith.science/.well-known/pith/IOCUNUE7QUBFL33YXZRMTDACIW/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2012:IOCUNUE7QUBFL33YXZRMTDACIW","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":"7bcd072d9fae7daed0ab58352ba2e7f1a3fff7ef30dc0dde32e865743563f2e5","cross_cats_sorted":["cs.CR","math.IT"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2012-10-08T01:07:48Z","title_canon_sha256":"27718a77756fad81a38b186946ac279e5b6b44534bca87bc2b26b5600600b4d4"},"schema_version":"1.0","source":{"id":"1210.2123","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1210.2123","created_at":"2026-05-18T03:43:51Z"},{"alias_kind":"arxiv_version","alias_value":"1210.2123v1","created_at":"2026-05-18T03:43:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1210.2123","created_at":"2026-05-18T03:43:51Z"},{"alias_kind":"pith_short_12","alias_value":"IOCUNUE7QUBF","created_at":"2026-05-18T12:27:09Z"},{"alias_kind":"pith_short_16","alias_value":"IOCUNUE7QUBFL33Y","created_at":"2026-05-18T12:27:09Z"},{"alias_kind":"pith_short_8","alias_value":"IOCUNUE7","created_at":"2026-05-18T12:27:09Z"}],"graph_snapshots":[{"event_id":"sha256:7b42ea1870c81d0265ac202f53af46b2fe174c9444086b38495e5e5297a5e7af","target":"graph","created_at":"2026-05-18T03:43:51Z","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"},"paper":{"abstract_excerpt":"We propose a general statistical inference framework to capture the privacy threat incurred by a user that releases data to a passive but curious adversary, given utility constraints. We show that applying this general framework to the setting where the adversary uses the self-information cost function naturally leads to a non-asymptotic information-theoretic approach for characterizing the best achievable privacy subject to utility constraints. Based on these results we introduce two privacy metrics, namely average information leakage and maximum information leakage. We prove that under both ","authors_text":"Flavio du Pin Calmon, Nadia Fawaz","cross_cats":["cs.CR","math.IT"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2012-10-08T01:07:48Z","title":"Privacy Against Statistical Inference"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1210.2123","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:ad9c247605f4492518bd3c36c79b826c891b2197647388d7e53caae621556836","target":"record","created_at":"2026-05-18T03:43:51Z","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":"7bcd072d9fae7daed0ab58352ba2e7f1a3fff7ef30dc0dde32e865743563f2e5","cross_cats_sorted":["cs.CR","math.IT"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2012-10-08T01:07:48Z","title_canon_sha256":"27718a77756fad81a38b186946ac279e5b6b44534bca87bc2b26b5600600b4d4"},"schema_version":"1.0","source":{"id":"1210.2123","kind":"arxiv","version":1}},"canonical_sha256":"438546d09f850255ef78be62c98c0245896e6718e05e900f965a9bd44b393b25","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"438546d09f850255ef78be62c98c0245896e6718e05e900f965a9bd44b393b25","first_computed_at":"2026-05-18T03:43:51.061590Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T03:43:51.061590Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"79Pzsv7PfO0WKilS8A1O8+ztgJSLUI/fEm887hfSdAwdJzzTTkRCTPCOku4K2O4F9RP6gLu0tP6uGBbfmTZBDA==","signature_status":"signed_v1","signed_at":"2026-05-18T03:43:51.062053Z","signed_message":"canonical_sha256_bytes"},"source_id":"1210.2123","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ad9c247605f4492518bd3c36c79b826c891b2197647388d7e53caae621556836","sha256:7b42ea1870c81d0265ac202f53af46b2fe174c9444086b38495e5e5297a5e7af"],"state_sha256":"c5fe757fd73610331250f13eb754b2f32f8ecf5b43d2d89fa6ebed66086babbd"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"K3sYlONF/MIHqtpkBNetCUwI3X8YjebBeBK+ol/vGcRKZJwPaudP1F4qWN3ABXsuzffi8WRAYchbCvxMxccTCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-30T03:59:16.888303Z","bundle_sha256":"0847565a417dc6caf4e2d02a2c5d0c8f37807abbd4309933a3921bd3d1cfffb0"}}