{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:WKHPCNEKR4Y4PX45DR6B2CDWUC","short_pith_number":"pith:WKHPCNEK","canonical_record":{"source":{"id":"2405.00955","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-05-02T02:33:15Z","cross_cats_sorted":["cs.CR"],"title_canon_sha256":"ef5d9c8836c31176d27e58027c625eef011e059aacd50fc560ae245a5ce514d6","abstract_canon_sha256":"f7dbfb4f4ea68e29ec9c724c9df6df5c0a1d6133c81475b88faa9b12350763ac"},"schema_version":"1.0"},"canonical_sha256":"b28ef1348a8f31c7df9d1c7c1d0876a0aaf48686b8dd1ab42afa9c592d9f7baf","source":{"kind":"arxiv","id":"2405.00955","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2405.00955","created_at":"2026-07-05T08:14:28Z"},{"alias_kind":"arxiv_version","alias_value":"2405.00955v1","created_at":"2026-07-05T08:14:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.00955","created_at":"2026-07-05T08:14:28Z"},{"alias_kind":"pith_short_12","alias_value":"WKHPCNEKR4Y4","created_at":"2026-07-05T08:14:28Z"},{"alias_kind":"pith_short_16","alias_value":"WKHPCNEKR4Y4PX45","created_at":"2026-07-05T08:14:28Z"},{"alias_kind":"pith_short_8","alias_value":"WKHPCNEK","created_at":"2026-07-05T08:14:28Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:WKHPCNEKR4Y4PX45DR6B2CDWUC","target":"record","payload":{"canonical_record":{"source":{"id":"2405.00955","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-05-02T02:33:15Z","cross_cats_sorted":["cs.CR"],"title_canon_sha256":"ef5d9c8836c31176d27e58027c625eef011e059aacd50fc560ae245a5ce514d6","abstract_canon_sha256":"f7dbfb4f4ea68e29ec9c724c9df6df5c0a1d6133c81475b88faa9b12350763ac"},"schema_version":"1.0"},"canonical_sha256":"b28ef1348a8f31c7df9d1c7c1d0876a0aaf48686b8dd1ab42afa9c592d9f7baf","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:14:28.481581Z","signature_b64":"YdtdYKGr3J8+RzVpU9Du8gEPsR8Zqz3Zt+Gg7oJKicT785BbIRJj5koJKRjL22cSQzk4J7aByavHGR1V0zYRCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b28ef1348a8f31c7df9d1c7c1d0876a0aaf48686b8dd1ab42afa9c592d9f7baf","last_reissued_at":"2026-07-05T08:14:28.481099Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:14:28.481099Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2405.00955","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":"2026-07-05T08:14:28Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"IzCHdF241SiCFi2QH/Jcq7RASX4GXd+wv8Toz8A47DRamSi21U3KaMh8FvCxRFe2YkUGqKtRIpxEqrKo+tPIDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T16:38:24.124036Z"},"content_sha256":"22723753775dee44982235ed4df240d10c182374c685a8be50871e3e9f4ebb84","schema_version":"1.0","event_id":"sha256:22723753775dee44982235ed4df240d10c182374c685a8be50871e3e9f4ebb84"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:WKHPCNEKR4Y4PX45DR6B2CDWUC","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Recovering Labels from Local Updates in Federated Learning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CR"],"primary_cat":"cs.LG","authors_text":"Haris Vikalo, Huancheng Chen","submitted_at":"2024-05-02T02:33:15Z","abstract_excerpt":"Gradient inversion (GI) attacks present a threat to the privacy of clients in federated learning (FL) by aiming to enable reconstruction of the clients' data from communicated model updates. A number of such techniques attempts to accelerate data recovery by first reconstructing labels of the samples used in local training. However, existing label extraction methods make strong assumptions that typically do not hold in realistic FL settings. In this paper we present a novel label recovery scheme, Recovering Labels from Local Updates (RLU), which provides near-perfect accuracy when attacking un"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.00955","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/2405.00955/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":"2026-07-05T08:14:28Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"2b8pNf3pv1FW5b/iFHQtlnVczWnZ/quwgf5+8krg28q4UZ7G1ztbumE0EkMvsTuMWKOB4DHYyx1JkiY4OQXzAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T16:38:24.124525Z"},"content_sha256":"e46d57942aacfae6c4b31decc6682dc7c66d35a675ca4474d931535b6c9573bc","schema_version":"1.0","event_id":"sha256:e46d57942aacfae6c4b31decc6682dc7c66d35a675ca4474d931535b6c9573bc"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/WKHPCNEKR4Y4PX45DR6B2CDWUC/bundle.json","state_url":"https://pith.science/pith/WKHPCNEKR4Y4PX45DR6B2CDWUC/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/WKHPCNEKR4Y4PX45DR6B2CDWUC/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":"2026-08-09T16:38:24Z","links":{"resolver":"https://pith.science/pith/WKHPCNEKR4Y4PX45DR6B2CDWUC","bundle":"https://pith.science/pith/WKHPCNEKR4Y4PX45DR6B2CDWUC/bundle.json","state":"https://pith.science/pith/WKHPCNEKR4Y4PX45DR6B2CDWUC/state.json","well_known_bundle":"https://pith.science/.well-known/pith/WKHPCNEKR4Y4PX45DR6B2CDWUC/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:WKHPCNEKR4Y4PX45DR6B2CDWUC","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":"f7dbfb4f4ea68e29ec9c724c9df6df5c0a1d6133c81475b88faa9b12350763ac","cross_cats_sorted":["cs.CR"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-05-02T02:33:15Z","title_canon_sha256":"ef5d9c8836c31176d27e58027c625eef011e059aacd50fc560ae245a5ce514d6"},"schema_version":"1.0","source":{"id":"2405.00955","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2405.00955","created_at":"2026-07-05T08:14:28Z"},{"alias_kind":"arxiv_version","alias_value":"2405.00955v1","created_at":"2026-07-05T08:14:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.00955","created_at":"2026-07-05T08:14:28Z"},{"alias_kind":"pith_short_12","alias_value":"WKHPCNEKR4Y4","created_at":"2026-07-05T08:14:28Z"},{"alias_kind":"pith_short_16","alias_value":"WKHPCNEKR4Y4PX45","created_at":"2026-07-05T08:14:28Z"},{"alias_kind":"pith_short_8","alias_value":"WKHPCNEK","created_at":"2026-07-05T08:14:28Z"}],"graph_snapshots":[{"event_id":"sha256:e46d57942aacfae6c4b31decc6682dc7c66d35a675ca4474d931535b6c9573bc","target":"graph","created_at":"2026-07-05T08:14:28Z","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/2405.00955/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Gradient inversion (GI) attacks present a threat to the privacy of clients in federated learning (FL) by aiming to enable reconstruction of the clients' data from communicated model updates. A number of such techniques attempts to accelerate data recovery by first reconstructing labels of the samples used in local training. However, existing label extraction methods make strong assumptions that typically do not hold in realistic FL settings. In this paper we present a novel label recovery scheme, Recovering Labels from Local Updates (RLU), which provides near-perfect accuracy when attacking un","authors_text":"Haris Vikalo, Huancheng Chen","cross_cats":["cs.CR"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-05-02T02:33:15Z","title":"Recovering Labels from Local Updates in Federated Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.00955","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":"sha256:22723753775dee44982235ed4df240d10c182374c685a8be50871e3e9f4ebb84","target":"record","created_at":"2026-07-05T08:14:28Z","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":"f7dbfb4f4ea68e29ec9c724c9df6df5c0a1d6133c81475b88faa9b12350763ac","cross_cats_sorted":["cs.CR"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-05-02T02:33:15Z","title_canon_sha256":"ef5d9c8836c31176d27e58027c625eef011e059aacd50fc560ae245a5ce514d6"},"schema_version":"1.0","source":{"id":"2405.00955","kind":"arxiv","version":1}},"canonical_sha256":"b28ef1348a8f31c7df9d1c7c1d0876a0aaf48686b8dd1ab42afa9c592d9f7baf","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b28ef1348a8f31c7df9d1c7c1d0876a0aaf48686b8dd1ab42afa9c592d9f7baf","first_computed_at":"2026-07-05T08:14:28.481099Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:14:28.481099Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"YdtdYKGr3J8+RzVpU9Du8gEPsR8Zqz3Zt+Gg7oJKicT785BbIRJj5koJKRjL22cSQzk4J7aByavHGR1V0zYRCw==","signature_status":"signed_v1","signed_at":"2026-07-05T08:14:28.481581Z","signed_message":"canonical_sha256_bytes"},"source_id":"2405.00955","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:22723753775dee44982235ed4df240d10c182374c685a8be50871e3e9f4ebb84","sha256:e46d57942aacfae6c4b31decc6682dc7c66d35a675ca4474d931535b6c9573bc"],"state_sha256":"e65122a9836de7e8feac703decb707718242ac0e696860830acfef472d4214a6"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"6Y+SOg2F+IO9Q1Ozacyw2ZHXf39GXFPFHEiHPs7H1B79CrsP4AiJVAhXJnuDXhJ1KL4EWgz3Bi1aU9A7WnQTAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T16:38:24.128404Z","bundle_sha256":"c7b461bb5e6e4d864e2a5a45b32e6330f5f91267659a8088704d1050b5f5cc72"}}