{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2017:Q4UH6SLD3SDFUN7QO57TNAAOEY","short_pith_number":"pith:Q4UH6SLD","schema_version":"1.0","canonical_sha256":"87287f4963dc865a37f0777f36800e2630c5f6a1ae2facb2b34af50aea71a66e","source":{"kind":"arxiv","id":"1710.01641","version":2},"attestation_state":"computed","paper":{"title":"Differentially Private Database Release via Kernel Mean Embeddings","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.ML","authors_text":"Bernhard Sch\\\"olkopf, Ilya Tolstikhin, Matej Balog","submitted_at":"2017-10-04T14:57:43Z","abstract_excerpt":"We lay theoretical foundations for new database release mechanisms that allow third-parties to construct consistent estimators of population statistics, while ensuring that the privacy of each individual contributing to the database is protected. The proposed framework rests on two main ideas. First, releasing (an estimate of) the kernel mean embedding of the data generating random variable instead of the database itself still allows third-parties to construct consistent estimators of a wide class of population statistics. Second, the algorithm can satisfy the definition of differential privac"},"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":"1710.01641","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2017-10-04T14:57:43Z","cross_cats_sorted":[],"title_canon_sha256":"a3810dda94929df141799c4b2495c34e990c678f1e96c056b6b1e5ff293fc405","abstract_canon_sha256":"db028ee484d6e1bd44a9dec3583fde080f1ef5065b16a4167eb8eca909c32088"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:14:34.427605Z","signature_b64":"ACBMWI/glQQmGN3kJjV94mIZb+YV2LgdjKHs0jJMGhonhEGLYihOfedpTU4i8Xj9VIdxXoHRK9FFjetpelMeBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"87287f4963dc865a37f0777f36800e2630c5f6a1ae2facb2b34af50aea71a66e","last_reissued_at":"2026-05-18T00:14:34.427083Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:14:34.427083Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Differentially Private Database Release via Kernel Mean Embeddings","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.ML","authors_text":"Bernhard Sch\\\"olkopf, Ilya Tolstikhin, Matej Balog","submitted_at":"2017-10-04T14:57:43Z","abstract_excerpt":"We lay theoretical foundations for new database release mechanisms that allow third-parties to construct consistent estimators of population statistics, while ensuring that the privacy of each individual contributing to the database is protected. The proposed framework rests on two main ideas. First, releasing (an estimate of) the kernel mean embedding of the data generating random variable instead of the database itself still allows third-parties to construct consistent estimators of a wide class of population statistics. Second, the algorithm can satisfy the definition of differential privac"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1710.01641","kind":"arxiv","version":2},"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":"1710.01641","created_at":"2026-05-18T00:14:34.427171+00:00"},{"alias_kind":"arxiv_version","alias_value":"1710.01641v2","created_at":"2026-05-18T00:14:34.427171+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1710.01641","created_at":"2026-05-18T00:14:34.427171+00:00"},{"alias_kind":"pith_short_12","alias_value":"Q4UH6SLD3SDF","created_at":"2026-05-18T12:31:37.085036+00:00"},{"alias_kind":"pith_short_16","alias_value":"Q4UH6SLD3SDFUN7Q","created_at":"2026-05-18T12:31:37.085036+00:00"},{"alias_kind":"pith_short_8","alias_value":"Q4UH6SLD","created_at":"2026-05-18T12:31:37.085036+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/Q4UH6SLD3SDFUN7QO57TNAAOEY","json":"https://pith.science/pith/Q4UH6SLD3SDFUN7QO57TNAAOEY.json","graph_json":"https://pith.science/api/pith-number/Q4UH6SLD3SDFUN7QO57TNAAOEY/graph.json","events_json":"https://pith.science/api/pith-number/Q4UH6SLD3SDFUN7QO57TNAAOEY/events.json","paper":"https://pith.science/paper/Q4UH6SLD"},"agent_actions":{"view_html":"https://pith.science/pith/Q4UH6SLD3SDFUN7QO57TNAAOEY","download_json":"https://pith.science/pith/Q4UH6SLD3SDFUN7QO57TNAAOEY.json","view_paper":"https://pith.science/paper/Q4UH6SLD","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1710.01641&json=true","fetch_graph":"https://pith.science/api/pith-number/Q4UH6SLD3SDFUN7QO57TNAAOEY/graph.json","fetch_events":"https://pith.science/api/pith-number/Q4UH6SLD3SDFUN7QO57TNAAOEY/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/Q4UH6SLD3SDFUN7QO57TNAAOEY/action/timestamp_anchor","attest_storage":"https://pith.science/pith/Q4UH6SLD3SDFUN7QO57TNAAOEY/action/storage_attestation","attest_author":"https://pith.science/pith/Q4UH6SLD3SDFUN7QO57TNAAOEY/action/author_attestation","sign_citation":"https://pith.science/pith/Q4UH6SLD3SDFUN7QO57TNAAOEY/action/citation_signature","submit_replication":"https://pith.science/pith/Q4UH6SLD3SDFUN7QO57TNAAOEY/action/replication_record"}},"created_at":"2026-05-18T00:14:34.427171+00:00","updated_at":"2026-05-18T00:14:34.427171+00:00"}