{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:Y5XYVUS3MJYQLJLXN4C7CJ2HVI","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":"c92819099716aaaab93cba5c0f05a5704e7cb48684cc01d7005fc98733cc9a32","cross_cats_sorted":["cs.CR","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-01-25T04:14:18Z","title_canon_sha256":"559264b55a0f6b87e60313220c24e138dfd71036a721a0f6e64c1a61557776f5"},"schema_version":"1.0","source":{"id":"1901.08730","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1901.08730","created_at":"2026-05-17T23:55:33Z"},{"alias_kind":"arxiv_version","alias_value":"1901.08730v1","created_at":"2026-05-17T23:55:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1901.08730","created_at":"2026-05-17T23:55:33Z"},{"alias_kind":"pith_short_12","alias_value":"Y5XYVUS3MJYQ","created_at":"2026-05-18T12:33:33Z"},{"alias_kind":"pith_short_16","alias_value":"Y5XYVUS3MJYQLJLX","created_at":"2026-05-18T12:33:33Z"},{"alias_kind":"pith_short_8","alias_value":"Y5XYVUS3","created_at":"2026-05-18T12:33:33Z"}],"graph_snapshots":[{"event_id":"sha256:05459fefb1fe0d8812589244dcc83ef755cd6eda50c6cfc3dfa0ccd12c2d6459","target":"graph","created_at":"2026-05-17T23:55:33Z","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":"The remarkable success of machine learning, especially deep learning, has produced a variety of cloud-based services for mobile users. Such services require an end user to send data to the service provider, which presents a serious challenge to end-user privacy. To address this concern, prior works either add noise to the data or send features extracted from the raw data. They struggle to balance between the utility and privacy because added noise reduces utility and raw data can be reconstructed from extracted features. This work represents a methodical departure from prior works: we balance ","authors_text":"Anshumali Shrivastava, Junzhao Du, Lin Zhong, Sicong Liu","cross_cats":["cs.CR","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-01-25T04:14:18Z","title":"Better accuracy with quantified privacy: representations learned via reconstructive adversarial network"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1901.08730","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":"sha256:9e65cfd5e810afda5c346aeeebb3090e2170707962694c2f03488d682399a09b","target":"record","created_at":"2026-05-17T23:55:33Z","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":"c92819099716aaaab93cba5c0f05a5704e7cb48684cc01d7005fc98733cc9a32","cross_cats_sorted":["cs.CR","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-01-25T04:14:18Z","title_canon_sha256":"559264b55a0f6b87e60313220c24e138dfd71036a721a0f6e64c1a61557776f5"},"schema_version":"1.0","source":{"id":"1901.08730","kind":"arxiv","version":1}},"canonical_sha256":"c76f8ad25b627105a5776f05f12747aa225109b6a8496be1adf5be88b5bf00c2","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c76f8ad25b627105a5776f05f12747aa225109b6a8496be1adf5be88b5bf00c2","first_computed_at":"2026-05-17T23:55:33.269399Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:55:33.269399Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"jKgKhz/6ILe70zcSY2qB7+HTVntWN0EzMQeUqsErF2R5cF0bhNtCpd/P9IzMF4WxII4tvKGY/pBjB5UKi1HRDg==","signature_status":"signed_v1","signed_at":"2026-05-17T23:55:33.269871Z","signed_message":"canonical_sha256_bytes"},"source_id":"1901.08730","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9e65cfd5e810afda5c346aeeebb3090e2170707962694c2f03488d682399a09b","sha256:05459fefb1fe0d8812589244dcc83ef755cd6eda50c6cfc3dfa0ccd12c2d6459"],"state_sha256":"340ee16665260ec50866ae916e8a6e52fd4083fd7d701e2dac5fb406cbd0467e"}