{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2020:PMXSRHVTCWCDSKGOKC2PVXS6XE","short_pith_number":"pith:PMXSRHVT","schema_version":"1.0","canonical_sha256":"7b2f289eb315843928ce50b4fade5eb921a7b021bf766a967f1d4bfb4a68a924","source":{"kind":"arxiv","id":"2009.05356","version":2},"attestation_state":"computed","paper":{"title":"Efficient Privacy-Preserving Computation Based on Additive Secret Sharing","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CR","authors_text":"Jian Weng, Lizhi Xiong, Qi Gu, Wenhao Zhou, Zhihua Xia","submitted_at":"2020-09-11T11:50:37Z","abstract_excerpt":"The emergence of cloud computing provides a new computing paradigm for users -- massive and complex computing tasks can be outsourced to cloud servers. However, the privacy issues also follow. Fully homomorphic encryption shows great potential in privacy-preserving computation, yet it is not ready for practice. At present, secure multiparty computation (MPC) remains mainly approach to deal with sensitive data. In this paper, following the secret sharing based MPC paradigm, we propose a secure 2-party computation scheme, in which cloud servers can securely evaluate functions with high efficienc"},"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":"2009.05356","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2020-09-11T11:50:37Z","cross_cats_sorted":[],"title_canon_sha256":"91179228091524e251f113f52a9fe6a1338b8fa2c49a80af63451bc74bf08ea4","abstract_canon_sha256":"0e619eac905521c59b60c5deefcf7c6dbb2dba274cc30c404e428a74f554c61c"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:28:05.897603Z","signature_b64":"SSOL1Pzx4jCDNFmlUsS/6N9KEA7fvlpWWOe31GOaHIDN3R/qK/ddvqaBM5wI5hOZ98t7cGzqy3/USwnvHkMGBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7b2f289eb315843928ce50b4fade5eb921a7b021bf766a967f1d4bfb4a68a924","last_reissued_at":"2026-07-05T02:28:05.897210Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:28:05.897210Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Efficient Privacy-Preserving Computation Based on Additive Secret Sharing","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CR","authors_text":"Jian Weng, Lizhi Xiong, Qi Gu, Wenhao Zhou, Zhihua Xia","submitted_at":"2020-09-11T11:50:37Z","abstract_excerpt":"The emergence of cloud computing provides a new computing paradigm for users -- massive and complex computing tasks can be outsourced to cloud servers. However, the privacy issues also follow. Fully homomorphic encryption shows great potential in privacy-preserving computation, yet it is not ready for practice. At present, secure multiparty computation (MPC) remains mainly approach to deal with sensitive data. In this paper, following the secret sharing based MPC paradigm, we propose a secure 2-party computation scheme, in which cloud servers can securely evaluate functions with high efficienc"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2009.05356","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2009.05356/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2009.05356","created_at":"2026-07-05T02:28:05.897274+00:00"},{"alias_kind":"arxiv_version","alias_value":"2009.05356v2","created_at":"2026-07-05T02:28:05.897274+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2009.05356","created_at":"2026-07-05T02:28:05.897274+00:00"},{"alias_kind":"pith_short_12","alias_value":"PMXSRHVTCWCD","created_at":"2026-07-05T02:28:05.897274+00:00"},{"alias_kind":"pith_short_16","alias_value":"PMXSRHVTCWCDSKGO","created_at":"2026-07-05T02:28:05.897274+00:00"},{"alias_kind":"pith_short_8","alias_value":"PMXSRHVT","created_at":"2026-07-05T02:28:05.897274+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/PMXSRHVTCWCDSKGOKC2PVXS6XE","json":"https://pith.science/pith/PMXSRHVTCWCDSKGOKC2PVXS6XE.json","graph_json":"https://pith.science/api/pith-number/PMXSRHVTCWCDSKGOKC2PVXS6XE/graph.json","events_json":"https://pith.science/api/pith-number/PMXSRHVTCWCDSKGOKC2PVXS6XE/events.json","paper":"https://pith.science/paper/PMXSRHVT"},"agent_actions":{"view_html":"https://pith.science/pith/PMXSRHVTCWCDSKGOKC2PVXS6XE","download_json":"https://pith.science/pith/PMXSRHVTCWCDSKGOKC2PVXS6XE.json","view_paper":"https://pith.science/paper/PMXSRHVT","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2009.05356&json=true","fetch_graph":"https://pith.science/api/pith-number/PMXSRHVTCWCDSKGOKC2PVXS6XE/graph.json","fetch_events":"https://pith.science/api/pith-number/PMXSRHVTCWCDSKGOKC2PVXS6XE/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/PMXSRHVTCWCDSKGOKC2PVXS6XE/action/timestamp_anchor","attest_storage":"https://pith.science/pith/PMXSRHVTCWCDSKGOKC2PVXS6XE/action/storage_attestation","attest_author":"https://pith.science/pith/PMXSRHVTCWCDSKGOKC2PVXS6XE/action/author_attestation","sign_citation":"https://pith.science/pith/PMXSRHVTCWCDSKGOKC2PVXS6XE/action/citation_signature","submit_replication":"https://pith.science/pith/PMXSRHVTCWCDSKGOKC2PVXS6XE/action/replication_record"}},"created_at":"2026-07-05T02:28:05.897274+00:00","updated_at":"2026-07-05T02:28:05.897274+00:00"}