{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:5SOL32JG4JKWBNX3ROL6DOEKAH","short_pith_number":"pith:5SOL32JG","canonical_record":{"source":{"id":"2501.11577","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CR","submitted_at":"2025-01-20T16:28:04Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"1112e559cd09e537eb32f79fdbc68d5eeaae71e9cc892f2ceba3c8a818c40b1c","abstract_canon_sha256":"3574d418df533541eb404fd6f965e91a933ea8cb2c67428a819379d7ae185d08"},"schema_version":"1.0"},"canonical_sha256":"ec9cbde926e25560b6fb8b97e1b88a01dc992704ef8ea56e9ea79819faec5b06","source":{"kind":"arxiv","id":"2501.11577","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.11577","created_at":"2026-07-05T10:03:11Z"},{"alias_kind":"arxiv_version","alias_value":"2501.11577v1","created_at":"2026-07-05T10:03:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.11577","created_at":"2026-07-05T10:03:11Z"},{"alias_kind":"pith_short_12","alias_value":"5SOL32JG4JKW","created_at":"2026-07-05T10:03:11Z"},{"alias_kind":"pith_short_16","alias_value":"5SOL32JG4JKWBNX3","created_at":"2026-07-05T10:03:11Z"},{"alias_kind":"pith_short_8","alias_value":"5SOL32JG","created_at":"2026-07-05T10:03:11Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:5SOL32JG4JKWBNX3ROL6DOEKAH","target":"record","payload":{"canonical_record":{"source":{"id":"2501.11577","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CR","submitted_at":"2025-01-20T16:28:04Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"1112e559cd09e537eb32f79fdbc68d5eeaae71e9cc892f2ceba3c8a818c40b1c","abstract_canon_sha256":"3574d418df533541eb404fd6f965e91a933ea8cb2c67428a819379d7ae185d08"},"schema_version":"1.0"},"canonical_sha256":"ec9cbde926e25560b6fb8b97e1b88a01dc992704ef8ea56e9ea79819faec5b06","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:03:11.106368Z","signature_b64":"72oWdiJopegmNv33CexsTG/e9nHrMHhIWYa4fCjpaZoGPVqTCDEjmmg/6ORWzyO4v9q8mg+toE7XVuFpH9b8Bw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ec9cbde926e25560b6fb8b97e1b88a01dc992704ef8ea56e9ea79819faec5b06","last_reissued_at":"2026-07-05T10:03:11.105924Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:03:11.105924Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2501.11577","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T10:03:11Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"tTYshwg4/EgJu/1Df2zSNbLk+4NFgBjLQSCGkk7DYTnwNVpYQFDjeT8U10HFkOIBSOHAD/o02XT1l9xz3u7NAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T03:46:10.736303Z"},"content_sha256":"de8029810bf87a98315a7265c11d9ea1bf36a503422e9d9575d29aef9dec53f3","schema_version":"1.0","event_id":"sha256:de8029810bf87a98315a7265c11d9ea1bf36a503422e9d9575d29aef9dec53f3"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:5SOL32JG4JKWBNX3ROL6DOEKAH","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Rethinking Membership Inference Attacks Against Transfer Learning","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.CR","authors_text":"Cong Wu, Guowen Xu, Hao Ren, Jing Chen, Kun He, Qianru Fang, Yang Liu, Yang Xiang, Ziming Zhao","submitted_at":"2025-01-20T16:28:04Z","abstract_excerpt":"Transfer learning, successful in knowledge translation across related tasks, faces a substantial privacy threat from membership inference attacks (MIAs). These attacks, despite posing significant risk to ML model's training data, remain limited-explored in transfer learning. The interaction between teacher and student models in transfer learning has not been thoroughly explored in MIAs, potentially resulting in an under-examined aspect of privacy vulnerabilities within transfer learning. In this paper, we propose a new MIA vector against transfer learning, to determine whether a specific data "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.11577","kind":"arxiv","version":1},"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/2501.11577/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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T10:03:11Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"39ARR7InuzmkbQpMldbQl4Let2gbt2Nqp7fUuPr7Xf9i5e6z7GImmlTfHdYEbB4YxyImbR4m4MLfhc1Lq1lKCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T03:46:10.736911Z"},"content_sha256":"53cdc4ae8d34c3db86e824ae1b79073e62e4e12226222a3e2a134db0318916d0","schema_version":"1.0","event_id":"sha256:53cdc4ae8d34c3db86e824ae1b79073e62e4e12226222a3e2a134db0318916d0"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/5SOL32JG4JKWBNX3ROL6DOEKAH/bundle.json","state_url":"https://pith.science/pith/5SOL32JG4JKWBNX3ROL6DOEKAH/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/5SOL32JG4JKWBNX3ROL6DOEKAH/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-07T03:46:10Z","links":{"resolver":"https://pith.science/pith/5SOL32JG4JKWBNX3ROL6DOEKAH","bundle":"https://pith.science/pith/5SOL32JG4JKWBNX3ROL6DOEKAH/bundle.json","state":"https://pith.science/pith/5SOL32JG4JKWBNX3ROL6DOEKAH/state.json","well_known_bundle":"https://pith.science/.well-known/pith/5SOL32JG4JKWBNX3ROL6DOEKAH/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:5SOL32JG4JKWBNX3ROL6DOEKAH","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":"3574d418df533541eb404fd6f965e91a933ea8cb2c67428a819379d7ae185d08","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CR","submitted_at":"2025-01-20T16:28:04Z","title_canon_sha256":"1112e559cd09e537eb32f79fdbc68d5eeaae71e9cc892f2ceba3c8a818c40b1c"},"schema_version":"1.0","source":{"id":"2501.11577","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.11577","created_at":"2026-07-05T10:03:11Z"},{"alias_kind":"arxiv_version","alias_value":"2501.11577v1","created_at":"2026-07-05T10:03:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.11577","created_at":"2026-07-05T10:03:11Z"},{"alias_kind":"pith_short_12","alias_value":"5SOL32JG4JKW","created_at":"2026-07-05T10:03:11Z"},{"alias_kind":"pith_short_16","alias_value":"5SOL32JG4JKWBNX3","created_at":"2026-07-05T10:03:11Z"},{"alias_kind":"pith_short_8","alias_value":"5SOL32JG","created_at":"2026-07-05T10:03:11Z"}],"graph_snapshots":[{"event_id":"sha256:53cdc4ae8d34c3db86e824ae1b79073e62e4e12226222a3e2a134db0318916d0","target":"graph","created_at":"2026-07-05T10:03:11Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2501.11577/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Transfer learning, successful in knowledge translation across related tasks, faces a substantial privacy threat from membership inference attacks (MIAs). These attacks, despite posing significant risk to ML model's training data, remain limited-explored in transfer learning. The interaction between teacher and student models in transfer learning has not been thoroughly explored in MIAs, potentially resulting in an under-examined aspect of privacy vulnerabilities within transfer learning. In this paper, we propose a new MIA vector against transfer learning, to determine whether a specific data ","authors_text":"Cong Wu, Guowen Xu, Hao Ren, Jing Chen, Kun He, Qianru Fang, Yang Liu, Yang Xiang, Ziming Zhao","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CR","submitted_at":"2025-01-20T16:28:04Z","title":"Rethinking Membership Inference Attacks Against Transfer Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.11577","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:de8029810bf87a98315a7265c11d9ea1bf36a503422e9d9575d29aef9dec53f3","target":"record","created_at":"2026-07-05T10:03:11Z","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":"3574d418df533541eb404fd6f965e91a933ea8cb2c67428a819379d7ae185d08","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CR","submitted_at":"2025-01-20T16:28:04Z","title_canon_sha256":"1112e559cd09e537eb32f79fdbc68d5eeaae71e9cc892f2ceba3c8a818c40b1c"},"schema_version":"1.0","source":{"id":"2501.11577","kind":"arxiv","version":1}},"canonical_sha256":"ec9cbde926e25560b6fb8b97e1b88a01dc992704ef8ea56e9ea79819faec5b06","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ec9cbde926e25560b6fb8b97e1b88a01dc992704ef8ea56e9ea79819faec5b06","first_computed_at":"2026-07-05T10:03:11.105924Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:03:11.105924Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"72oWdiJopegmNv33CexsTG/e9nHrMHhIWYa4fCjpaZoGPVqTCDEjmmg/6ORWzyO4v9q8mg+toE7XVuFpH9b8Bw==","signature_status":"signed_v1","signed_at":"2026-07-05T10:03:11.106368Z","signed_message":"canonical_sha256_bytes"},"source_id":"2501.11577","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:de8029810bf87a98315a7265c11d9ea1bf36a503422e9d9575d29aef9dec53f3","sha256:53cdc4ae8d34c3db86e824ae1b79073e62e4e12226222a3e2a134db0318916d0"],"state_sha256":"4bd7091c6bd55d4400ccd128287865486743ba061c3496ae6e0f220c71a6427c"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"NqAv486YEr1CQ8wTl2mwm0Hiv/DPf3/PjiNPeNmb0gE4/CRnmPQuK6iINgyyL+7wSFNUon4+DYkTKSrHIHGBDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T03:46:10.742758Z","bundle_sha256":"9a862bb02697ef609d30524816316e0d7bf0702190b7ce93f5f919570b45dd5b"}}