{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2012:3FLXMGVR34BWWXJVKPHYIT4MVN","short_pith_number":"pith:3FLXMGVR","schema_version":"1.0","canonical_sha256":"d957761ab1df036b5d3553cf844f8cab614b628f58a5ec1c639959afb1c0c65b","source":{"kind":"arxiv","id":"1207.0135","version":1},"attestation_state":"computed","paper":{"title":"Privacy Preservation by Disassociation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.DB","authors_text":"John Liagouris, Manolis Terrovitis, Nikos Mamoulis, Spiros Skiadopoulos","submitted_at":"2012-06-30T20:16:16Z","abstract_excerpt":"In this work, we focus on protection against identity disclosure in the publication of sparse multidimensional data. Existing multidimensional anonymization techniquesa) protect the privacy of users either by altering the set of quasi-identifiers of the original data (e.g., by generalization or suppression) or by adding noise (e.g., using differential privacy) and/or (b) assume a clear distinction between sensitive and non-sensitive information and sever the possible linkage. In many real world applications the above techniques are not applicable. For instance, consider web search query logs. "},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"1207.0135","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DB","submitted_at":"2012-06-30T20:16:16Z","cross_cats_sorted":[],"title_canon_sha256":"447bcca1e5aef254e1fd87d93b9baac70e6cdc9793ba06bce501458be75f0c13","abstract_canon_sha256":"5a7784055ab3af29acb8561d9c55725e3141744694c23c5895f7ffb3ae068f23"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T03:52:00.245367Z","signature_b64":"DDK31V9RrdFP8SeSP1B5PpNHjXXg8PKmvKfsXlf6fYopQT8iwRzz599A7wYEjwouh7ujtVt1SjQ9wv+NhTvmDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d957761ab1df036b5d3553cf844f8cab614b628f58a5ec1c639959afb1c0c65b","last_reissued_at":"2026-05-18T03:52:00.244645Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T03:52:00.244645Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Privacy Preservation by Disassociation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.DB","authors_text":"John Liagouris, Manolis Terrovitis, Nikos Mamoulis, Spiros Skiadopoulos","submitted_at":"2012-06-30T20:16:16Z","abstract_excerpt":"In this work, we focus on protection against identity disclosure in the publication of sparse multidimensional data. Existing multidimensional anonymization techniquesa) protect the privacy of users either by altering the set of quasi-identifiers of the original data (e.g., by generalization or suppression) or by adding noise (e.g., using differential privacy) and/or (b) assume a clear distinction between sensitive and non-sensitive information and sever the possible linkage. In many real world applications the above techniques are not applicable. For instance, consider web search query logs. "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1207.0135","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"},"aliases":[{"alias_kind":"arxiv","alias_value":"1207.0135","created_at":"2026-05-18T03:52:00.244771+00:00"},{"alias_kind":"arxiv_version","alias_value":"1207.0135v1","created_at":"2026-05-18T03:52:00.244771+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1207.0135","created_at":"2026-05-18T03:52:00.244771+00:00"},{"alias_kind":"pith_short_12","alias_value":"3FLXMGVR34BW","created_at":"2026-05-18T12:26:50.516681+00:00"},{"alias_kind":"pith_short_16","alias_value":"3FLXMGVR34BWWXJV","created_at":"2026-05-18T12:26:50.516681+00:00"},{"alias_kind":"pith_short_8","alias_value":"3FLXMGVR","created_at":"2026-05-18T12:26:50.516681+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/3FLXMGVR34BWWXJVKPHYIT4MVN","json":"https://pith.science/pith/3FLXMGVR34BWWXJVKPHYIT4MVN.json","graph_json":"https://pith.science/api/pith-number/3FLXMGVR34BWWXJVKPHYIT4MVN/graph.json","events_json":"https://pith.science/api/pith-number/3FLXMGVR34BWWXJVKPHYIT4MVN/events.json","paper":"https://pith.science/paper/3FLXMGVR"},"agent_actions":{"view_html":"https://pith.science/pith/3FLXMGVR34BWWXJVKPHYIT4MVN","download_json":"https://pith.science/pith/3FLXMGVR34BWWXJVKPHYIT4MVN.json","view_paper":"https://pith.science/paper/3FLXMGVR","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1207.0135&json=true","fetch_graph":"https://pith.science/api/pith-number/3FLXMGVR34BWWXJVKPHYIT4MVN/graph.json","fetch_events":"https://pith.science/api/pith-number/3FLXMGVR34BWWXJVKPHYIT4MVN/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/3FLXMGVR34BWWXJVKPHYIT4MVN/action/timestamp_anchor","attest_storage":"https://pith.science/pith/3FLXMGVR34BWWXJVKPHYIT4MVN/action/storage_attestation","attest_author":"https://pith.science/pith/3FLXMGVR34BWWXJVKPHYIT4MVN/action/author_attestation","sign_citation":"https://pith.science/pith/3FLXMGVR34BWWXJVKPHYIT4MVN/action/citation_signature","submit_replication":"https://pith.science/pith/3FLXMGVR34BWWXJVKPHYIT4MVN/action/replication_record"}},"created_at":"2026-05-18T03:52:00.244771+00:00","updated_at":"2026-05-18T03:52:00.244771+00:00"}