{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2017:EST354SUFKW63VDKXUP655GLB7","short_pith_number":"pith:EST354SU","schema_version":"1.0","canonical_sha256":"24a7bef2542aadedd46abd1feef4cb0fe1ef900e1f0d2b5b46c2a45deb43b010","source":{"kind":"arxiv","id":"1702.07464","version":3},"attestation_state":"computed","paper":{"title":"Deep Models Under the GAN: Information Leakage from Collaborative Deep Learning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","stat.ML"],"primary_cat":"cs.CR","authors_text":"Briland Hitaj, Fernando Perez-Cruz, Giuseppe Ateniese","submitted_at":"2017-02-24T05:00:37Z","abstract_excerpt":"Deep Learning has recently become hugely popular in machine learning, providing significant improvements in classification accuracy in the presence of highly-structured and large databases.\n  Researchers have also considered privacy implications of deep learning. Models are typically trained in a centralized manner with all the data being processed by the same training algorithm. If the data is a collection of users' private data, including habits, personal pictures, geographical positions, interests, and more, the centralized server will have access to sensitive information that could potenti"},"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":"1702.07464","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2017-02-24T05:00:37Z","cross_cats_sorted":["cs.LG","stat.ML"],"title_canon_sha256":"2d98f81a4fa40ce3ac21c7bf3fe0b7dfd550250aada45bc161849ec161e0d26c","abstract_canon_sha256":"405e5751b55779f90f3686f4a2bf75bf17492861c302af754f7d03dea73b851e"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:35:10.658065Z","signature_b64":"qIfEkv2XPv9kUhtfw4t12DnyUZerlt5R8yWkF6tZZGNGwd//9WcWypkfdVUzEyeRj6+XDfTzPpGgk2sFOVtbAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"24a7bef2542aadedd46abd1feef4cb0fe1ef900e1f0d2b5b46c2a45deb43b010","last_reissued_at":"2026-05-18T00:35:10.657671Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:35:10.657671Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Deep Models Under the GAN: Information Leakage from Collaborative Deep Learning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","stat.ML"],"primary_cat":"cs.CR","authors_text":"Briland Hitaj, Fernando Perez-Cruz, Giuseppe Ateniese","submitted_at":"2017-02-24T05:00:37Z","abstract_excerpt":"Deep Learning has recently become hugely popular in machine learning, providing significant improvements in classification accuracy in the presence of highly-structured and large databases.\n  Researchers have also considered privacy implications of deep learning. Models are typically trained in a centralized manner with all the data being processed by the same training algorithm. If the data is a collection of users' private data, including habits, personal pictures, geographical positions, interests, and more, the centralized server will have access to sensitive information that could potenti"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1702.07464","kind":"arxiv","version":3},"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":"1702.07464","created_at":"2026-05-18T00:35:10.657730+00:00"},{"alias_kind":"arxiv_version","alias_value":"1702.07464v3","created_at":"2026-05-18T00:35:10.657730+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1702.07464","created_at":"2026-05-18T00:35:10.657730+00:00"},{"alias_kind":"pith_short_12","alias_value":"EST354SUFKW6","created_at":"2026-05-18T12:31:12.930513+00:00"},{"alias_kind":"pith_short_16","alias_value":"EST354SUFKW63VDK","created_at":"2026-05-18T12:31:12.930513+00:00"},{"alias_kind":"pith_short_8","alias_value":"EST354SU","created_at":"2026-05-18T12:31:12.930513+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/EST354SUFKW63VDKXUP655GLB7","json":"https://pith.science/pith/EST354SUFKW63VDKXUP655GLB7.json","graph_json":"https://pith.science/api/pith-number/EST354SUFKW63VDKXUP655GLB7/graph.json","events_json":"https://pith.science/api/pith-number/EST354SUFKW63VDKXUP655GLB7/events.json","paper":"https://pith.science/paper/EST354SU"},"agent_actions":{"view_html":"https://pith.science/pith/EST354SUFKW63VDKXUP655GLB7","download_json":"https://pith.science/pith/EST354SUFKW63VDKXUP655GLB7.json","view_paper":"https://pith.science/paper/EST354SU","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1702.07464&json=true","fetch_graph":"https://pith.science/api/pith-number/EST354SUFKW63VDKXUP655GLB7/graph.json","fetch_events":"https://pith.science/api/pith-number/EST354SUFKW63VDKXUP655GLB7/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/EST354SUFKW63VDKXUP655GLB7/action/timestamp_anchor","attest_storage":"https://pith.science/pith/EST354SUFKW63VDKXUP655GLB7/action/storage_attestation","attest_author":"https://pith.science/pith/EST354SUFKW63VDKXUP655GLB7/action/author_attestation","sign_citation":"https://pith.science/pith/EST354SUFKW63VDKXUP655GLB7/action/citation_signature","submit_replication":"https://pith.science/pith/EST354SUFKW63VDKXUP655GLB7/action/replication_record"}},"created_at":"2026-05-18T00:35:10.657730+00:00","updated_at":"2026-05-18T00:35:10.657730+00:00"}