{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:PLCQPPTHCTXIMWZU2MKIBBFGSW","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":"051a47830e09f6cc02c8ef341b6ad714368cacd3adeee75ab401b9ac8140530f","cross_cats_sorted":["cs.CR","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2018-09-18T06:16:38Z","title_canon_sha256":"15f266c7f50ed33781be573ed50dc80466d93a7bebeac497dd05a9b8be00e1aa"},"schema_version":"1.0","source":{"id":"1809.06546","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1809.06546","created_at":"2026-05-17T23:41:45Z"},{"alias_kind":"arxiv_version","alias_value":"1809.06546v3","created_at":"2026-05-17T23:41:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1809.06546","created_at":"2026-05-17T23:41:45Z"},{"alias_kind":"pith_short_12","alias_value":"PLCQPPTHCTXI","created_at":"2026-05-18T12:32:46Z"},{"alias_kind":"pith_short_16","alias_value":"PLCQPPTHCTXIMWZU","created_at":"2026-05-18T12:32:46Z"},{"alias_kind":"pith_short_8","alias_value":"PLCQPPTH","created_at":"2026-05-18T12:32:46Z"}],"graph_snapshots":[{"event_id":"sha256:415b5953e486ae37542b554ee4c916407105ec885468a88d36f1821604ed262e","target":"graph","created_at":"2026-05-17T23:41:45Z","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":"Multi-task learning (MTL) refers to the paradigm of learning multiple related tasks together. In contrast, in single-task learning (STL) each individual task is learned independently. MTL often leads to better trained models because they can leverage the commonalities among related tasks. However, because MTL algorithms can ``leak\" information from different models across different tasks, MTL poses a potential security risk. Specifically, an adversary may participate in the MTL process through one task and thereby acquire the model information for another task. The previously proposed privacy-","authors_text":"Changshui Zhang, Fei Wang, Jian Liang, Jiayu Zhou, Xiaoqian Jiang, Ziqi Liu","cross_cats":["cs.CR","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2018-09-18T06:16:38Z","title":"Model-Protected Multi-Task Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1809.06546","kind":"arxiv","version":3},"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:b8bd6333c82fac8ad40381abd4986e308b56bee57e6a1ce472afcb682b27ac02","target":"record","created_at":"2026-05-17T23:41:45Z","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":"051a47830e09f6cc02c8ef341b6ad714368cacd3adeee75ab401b9ac8140530f","cross_cats_sorted":["cs.CR","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2018-09-18T06:16:38Z","title_canon_sha256":"15f266c7f50ed33781be573ed50dc80466d93a7bebeac497dd05a9b8be00e1aa"},"schema_version":"1.0","source":{"id":"1809.06546","kind":"arxiv","version":3}},"canonical_sha256":"7ac507be6714ee865b34d3148084a695a915d248c9bbb79dbbc0caacee50e106","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7ac507be6714ee865b34d3148084a695a915d248c9bbb79dbbc0caacee50e106","first_computed_at":"2026-05-17T23:41:45.971016Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:41:45.971016Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"KAvzuRNACI+Nb0qgxF/AWJT6Bcr+eqTbmHA8/4cozQ5+3JLKi74FJSOHtPHCpIIzwrTVVgxthF56VXDhNzvHDA==","signature_status":"signed_v1","signed_at":"2026-05-17T23:41:45.971563Z","signed_message":"canonical_sha256_bytes"},"source_id":"1809.06546","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b8bd6333c82fac8ad40381abd4986e308b56bee57e6a1ce472afcb682b27ac02","sha256:415b5953e486ae37542b554ee4c916407105ec885468a88d36f1821604ed262e"],"state_sha256":"9b9252b9962b6cee9616819a72ce942e528ff982471ea77c031e8924c71291cf"}