{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:CRVA24BHOGFGMPUWJEGEL5MWQP","short_pith_number":"pith:CRVA24BH","canonical_record":{"source":{"id":"2412.13818","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2024-12-18T13:05:55Z","cross_cats_sorted":[],"title_canon_sha256":"581f1a6e15accd706eb91ed375bf6e6e046639b607a58936f4b3374b4a222a79","abstract_canon_sha256":"63a03af271a410cf108bf64846359faa6b6ce73ab3f438a7eac36b10d55c94d5"},"schema_version":"1.0"},"canonical_sha256":"146a0d7027718a663e96490c45f59683c364c20da99a8e2523b6a6c58dcefdf1","source":{"kind":"arxiv","id":"2412.13818","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.13818","created_at":"2026-07-05T09:51:09Z"},{"alias_kind":"arxiv_version","alias_value":"2412.13818v1","created_at":"2026-07-05T09:51:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.13818","created_at":"2026-07-05T09:51:09Z"},{"alias_kind":"pith_short_12","alias_value":"CRVA24BHOGFG","created_at":"2026-07-05T09:51:09Z"},{"alias_kind":"pith_short_16","alias_value":"CRVA24BHOGFGMPUW","created_at":"2026-07-05T09:51:09Z"},{"alias_kind":"pith_short_8","alias_value":"CRVA24BH","created_at":"2026-07-05T09:51:09Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:CRVA24BHOGFGMPUWJEGEL5MWQP","target":"record","payload":{"canonical_record":{"source":{"id":"2412.13818","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2024-12-18T13:05:55Z","cross_cats_sorted":[],"title_canon_sha256":"581f1a6e15accd706eb91ed375bf6e6e046639b607a58936f4b3374b4a222a79","abstract_canon_sha256":"63a03af271a410cf108bf64846359faa6b6ce73ab3f438a7eac36b10d55c94d5"},"schema_version":"1.0"},"canonical_sha256":"146a0d7027718a663e96490c45f59683c364c20da99a8e2523b6a6c58dcefdf1","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:51:09.244072Z","signature_b64":"wqWntNWhHNY8ii6kGDr2whAHTMyoe+SJe59XPCC2SEGGVc9J2Ls48+l7bA7KhIXn1iNukv/zrK51oBAiK4bTCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"146a0d7027718a663e96490c45f59683c364c20da99a8e2523b6a6c58dcefdf1","last_reissued_at":"2026-07-05T09:51:09.243528Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:51:09.243528Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2412.13818","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":"2026-07-05T09:51:09Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"eq/HYYJxVwmhp95Ij2jPHGXsgPa0+ewheY+54y4p9iKnBF00xdczblhGYJ9sUwYdAa/kTaP1EOhyQmXPfyX/Aw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-14T13:39:07.846634Z"},"content_sha256":"92f6d0576740ade6f580b3b1eb0fa8cedd304a3ac2d6b3031138dfb62f321d2e","schema_version":"1.0","event_id":"sha256:92f6d0576740ade6f580b3b1eb0fa8cedd304a3ac2d6b3031138dfb62f321d2e"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:CRVA24BHOGFGMPUWJEGEL5MWQP","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Fed-AugMix: Balancing Privacy and Utility via Data Augmentation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CR","authors_text":"Haoyang Li, Wei Chen, Xiaojin Zhang","submitted_at":"2024-12-18T13:05:55Z","abstract_excerpt":"Gradient leakage attacks pose a significant threat to the privacy guarantees of federated learning. While distortion-based protection mechanisms are commonly employed to mitigate this issue, they often lead to notable performance degradation. Existing methods struggle to preserve model performance while ensuring privacy. To address this challenge, we propose a novel data augmentation-based framework designed to achieve a favorable privacy-utility trade-off, with the potential to enhance model performance in certain cases. Our framework incorporates the AugMix algorithm at the client level, ena"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.13818","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/2412.13818/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":"2026-07-05T09:51:09Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"E1846qU75wTQvMPI1drJcOA5Hi/Hx3STok5oqYRxnHNF99NIrHd+/YvfEtsE8oRXeCvUQn5o9tXD5QgVRZgkBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-14T13:39:07.847143Z"},"content_sha256":"b290abd849c4d9158c95cd3879beedc8d4705f778e85f72d797c1249450ec254","schema_version":"1.0","event_id":"sha256:b290abd849c4d9158c95cd3879beedc8d4705f778e85f72d797c1249450ec254"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/CRVA24BHOGFGMPUWJEGEL5MWQP/bundle.json","state_url":"https://pith.science/pith/CRVA24BHOGFGMPUWJEGEL5MWQP/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/CRVA24BHOGFGMPUWJEGEL5MWQP/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":"2026-08-14T13:39:07Z","links":{"resolver":"https://pith.science/pith/CRVA24BHOGFGMPUWJEGEL5MWQP","bundle":"https://pith.science/pith/CRVA24BHOGFGMPUWJEGEL5MWQP/bundle.json","state":"https://pith.science/pith/CRVA24BHOGFGMPUWJEGEL5MWQP/state.json","well_known_bundle":"https://pith.science/.well-known/pith/CRVA24BHOGFGMPUWJEGEL5MWQP/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:CRVA24BHOGFGMPUWJEGEL5MWQP","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":"63a03af271a410cf108bf64846359faa6b6ce73ab3f438a7eac36b10d55c94d5","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2024-12-18T13:05:55Z","title_canon_sha256":"581f1a6e15accd706eb91ed375bf6e6e046639b607a58936f4b3374b4a222a79"},"schema_version":"1.0","source":{"id":"2412.13818","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.13818","created_at":"2026-07-05T09:51:09Z"},{"alias_kind":"arxiv_version","alias_value":"2412.13818v1","created_at":"2026-07-05T09:51:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.13818","created_at":"2026-07-05T09:51:09Z"},{"alias_kind":"pith_short_12","alias_value":"CRVA24BHOGFG","created_at":"2026-07-05T09:51:09Z"},{"alias_kind":"pith_short_16","alias_value":"CRVA24BHOGFGMPUW","created_at":"2026-07-05T09:51:09Z"},{"alias_kind":"pith_short_8","alias_value":"CRVA24BH","created_at":"2026-07-05T09:51:09Z"}],"graph_snapshots":[{"event_id":"sha256:b290abd849c4d9158c95cd3879beedc8d4705f778e85f72d797c1249450ec254","target":"graph","created_at":"2026-07-05T09:51:09Z","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/2412.13818/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Gradient leakage attacks pose a significant threat to the privacy guarantees of federated learning. While distortion-based protection mechanisms are commonly employed to mitigate this issue, they often lead to notable performance degradation. Existing methods struggle to preserve model performance while ensuring privacy. To address this challenge, we propose a novel data augmentation-based framework designed to achieve a favorable privacy-utility trade-off, with the potential to enhance model performance in certain cases. Our framework incorporates the AugMix algorithm at the client level, ena","authors_text":"Haoyang Li, Wei Chen, Xiaojin Zhang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2024-12-18T13:05:55Z","title":"Fed-AugMix: Balancing Privacy and Utility via Data Augmentation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.13818","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":"sha256:92f6d0576740ade6f580b3b1eb0fa8cedd304a3ac2d6b3031138dfb62f321d2e","target":"record","created_at":"2026-07-05T09:51:09Z","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":"63a03af271a410cf108bf64846359faa6b6ce73ab3f438a7eac36b10d55c94d5","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2024-12-18T13:05:55Z","title_canon_sha256":"581f1a6e15accd706eb91ed375bf6e6e046639b607a58936f4b3374b4a222a79"},"schema_version":"1.0","source":{"id":"2412.13818","kind":"arxiv","version":1}},"canonical_sha256":"146a0d7027718a663e96490c45f59683c364c20da99a8e2523b6a6c58dcefdf1","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"146a0d7027718a663e96490c45f59683c364c20da99a8e2523b6a6c58dcefdf1","first_computed_at":"2026-07-05T09:51:09.243528Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:51:09.243528Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"wqWntNWhHNY8ii6kGDr2whAHTMyoe+SJe59XPCC2SEGGVc9J2Ls48+l7bA7KhIXn1iNukv/zrK51oBAiK4bTCg==","signature_status":"signed_v1","signed_at":"2026-07-05T09:51:09.244072Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.13818","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:92f6d0576740ade6f580b3b1eb0fa8cedd304a3ac2d6b3031138dfb62f321d2e","sha256:b290abd849c4d9158c95cd3879beedc8d4705f778e85f72d797c1249450ec254"],"state_sha256":"09dc59771383c7ea85ee2f07cde50288b7f0cdb1e6d7f58b2aba9aa42de88c36"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"fiinkYUF6c2a3WunGPdMsYP0XHjwMfmXaWjDvI36I3QALqqpmWHkQ4BQwt4Ltu2gbr0yijsOCkNmvCG9fP8TBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-14T13:39:07.852284Z","bundle_sha256":"81efc90325b02d88468e70037719bcd8875ce069868f1dd04229ed4f39f9a9d1"}}