{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:DTO42JJ2OCHSCXIVLNSQJ64ZH3","short_pith_number":"pith:DTO42JJ2","canonical_record":{"source":{"id":"2312.11057","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2023-12-18T09:40:38Z","cross_cats_sorted":["cs.AI","cs.CV"],"title_canon_sha256":"15f0ddaa0dbde215e0b48333f96f973ba40fcbfc9e178ac38ad0b812516dae95","abstract_canon_sha256":"999794660beedb22d239519ee3cfa30da109c88dbdbf7a350f1b340f134f9cf6"},"schema_version":"1.0"},"canonical_sha256":"1cddcd253a708f215d155b6504fb993ee71568fb4357de77ac21c87c7c0d021c","source":{"kind":"arxiv","id":"2312.11057","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2312.11057","created_at":"2026-07-05T07:26:20Z"},{"alias_kind":"arxiv_version","alias_value":"2312.11057v2","created_at":"2026-07-05T07:26:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2312.11057","created_at":"2026-07-05T07:26:20Z"},{"alias_kind":"pith_short_12","alias_value":"DTO42JJ2OCHS","created_at":"2026-07-05T07:26:20Z"},{"alias_kind":"pith_short_16","alias_value":"DTO42JJ2OCHSCXIV","created_at":"2026-07-05T07:26:20Z"},{"alias_kind":"pith_short_8","alias_value":"DTO42JJ2","created_at":"2026-07-05T07:26:20Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:DTO42JJ2OCHSCXIVLNSQJ64ZH3","target":"record","payload":{"canonical_record":{"source":{"id":"2312.11057","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2023-12-18T09:40:38Z","cross_cats_sorted":["cs.AI","cs.CV"],"title_canon_sha256":"15f0ddaa0dbde215e0b48333f96f973ba40fcbfc9e178ac38ad0b812516dae95","abstract_canon_sha256":"999794660beedb22d239519ee3cfa30da109c88dbdbf7a350f1b340f134f9cf6"},"schema_version":"1.0"},"canonical_sha256":"1cddcd253a708f215d155b6504fb993ee71568fb4357de77ac21c87c7c0d021c","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:26:20.182944Z","signature_b64":"OelCgTCBIjL9+K8a2TNhklUXcoV2FYEmvU9LecnTP7XGp6Rgf+1ggXmczk5npZfaNjBJurm1+xUU5MYMSqgDBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1cddcd253a708f215d155b6504fb993ee71568fb4357de77ac21c87c7c0d021c","last_reissued_at":"2026-07-05T07:26:20.182434Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:26:20.182434Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2312.11057","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T07:26:20Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"gfG8Xsa0NZ3Q7WVTPTddKmQmLhpwJhGku7xZx8l3FcxGeXBpLZKBVRktYhwmVal40MRWKt2X0fLjZbE2ixzKAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-15T19:26:44.951086Z"},"content_sha256":"0d0fc7af78587983b3c79bf6b5a3236adeaa81dba6c195cf5501343c7b6bd7c8","schema_version":"1.0","event_id":"sha256:0d0fc7af78587983b3c79bf6b5a3236adeaa81dba6c195cf5501343c7b6bd7c8"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:DTO42JJ2OCHSCXIVLNSQJ64ZH3","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"DataElixir: Purifying Poisoned Dataset to Mitigate Backdoor Attacks via Diffusion Models","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.CV"],"primary_cat":"cs.CR","authors_text":"Guozhu Meng, Hualong Ma, Jiachen Zhou, Kai Chen, Peizhuo Lv, Yibing Lan","submitted_at":"2023-12-18T09:40:38Z","abstract_excerpt":"Dataset sanitization is a widely adopted proactive defense against poisoning-based backdoor attacks, aimed at filtering out and removing poisoned samples from training datasets. However, existing methods have shown limited efficacy in countering the ever-evolving trigger functions, and often leading to considerable degradation of benign accuracy. In this paper, we propose DataElixir, a novel sanitization approach tailored to purify poisoned datasets. We leverage diffusion models to eliminate trigger features and restore benign features, thereby turning the poisoned samples into benign ones. Sp"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2312.11057","kind":"arxiv","version":2},"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/2312.11057/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":"2026-07-05T07:26:20Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"GKaftrOKn4squDlm1z+fiZ+/HlVdBRKcd3Acz0kUbLN9zsTNwS416dH/tuGp7JE+M8u8Z36H2KymtWkeYF2/AQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-15T19:26:44.951473Z"},"content_sha256":"315207e942fce7e1009f04a5ca1bdfe190868659811cf76dd7643f10df1c4eb8","schema_version":"1.0","event_id":"sha256:315207e942fce7e1009f04a5ca1bdfe190868659811cf76dd7643f10df1c4eb8"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/DTO42JJ2OCHSCXIVLNSQJ64ZH3/bundle.json","state_url":"https://pith.science/pith/DTO42JJ2OCHSCXIVLNSQJ64ZH3/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/DTO42JJ2OCHSCXIVLNSQJ64ZH3/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":"2026-07-15T19:26:44Z","links":{"resolver":"https://pith.science/pith/DTO42JJ2OCHSCXIVLNSQJ64ZH3","bundle":"https://pith.science/pith/DTO42JJ2OCHSCXIVLNSQJ64ZH3/bundle.json","state":"https://pith.science/pith/DTO42JJ2OCHSCXIVLNSQJ64ZH3/state.json","well_known_bundle":"https://pith.science/.well-known/pith/DTO42JJ2OCHSCXIVLNSQJ64ZH3/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:DTO42JJ2OCHSCXIVLNSQJ64ZH3","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":"999794660beedb22d239519ee3cfa30da109c88dbdbf7a350f1b340f134f9cf6","cross_cats_sorted":["cs.AI","cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2023-12-18T09:40:38Z","title_canon_sha256":"15f0ddaa0dbde215e0b48333f96f973ba40fcbfc9e178ac38ad0b812516dae95"},"schema_version":"1.0","source":{"id":"2312.11057","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2312.11057","created_at":"2026-07-05T07:26:20Z"},{"alias_kind":"arxiv_version","alias_value":"2312.11057v2","created_at":"2026-07-05T07:26:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2312.11057","created_at":"2026-07-05T07:26:20Z"},{"alias_kind":"pith_short_12","alias_value":"DTO42JJ2OCHS","created_at":"2026-07-05T07:26:20Z"},{"alias_kind":"pith_short_16","alias_value":"DTO42JJ2OCHSCXIV","created_at":"2026-07-05T07:26:20Z"},{"alias_kind":"pith_short_8","alias_value":"DTO42JJ2","created_at":"2026-07-05T07:26:20Z"}],"graph_snapshots":[{"event_id":"sha256:315207e942fce7e1009f04a5ca1bdfe190868659811cf76dd7643f10df1c4eb8","target":"graph","created_at":"2026-07-05T07:26:20Z","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/2312.11057/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Dataset sanitization is a widely adopted proactive defense against poisoning-based backdoor attacks, aimed at filtering out and removing poisoned samples from training datasets. However, existing methods have shown limited efficacy in countering the ever-evolving trigger functions, and often leading to considerable degradation of benign accuracy. In this paper, we propose DataElixir, a novel sanitization approach tailored to purify poisoned datasets. We leverage diffusion models to eliminate trigger features and restore benign features, thereby turning the poisoned samples into benign ones. Sp","authors_text":"Guozhu Meng, Hualong Ma, Jiachen Zhou, Kai Chen, Peizhuo Lv, Yibing Lan","cross_cats":["cs.AI","cs.CV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2023-12-18T09:40:38Z","title":"DataElixir: Purifying Poisoned Dataset to Mitigate Backdoor Attacks via Diffusion Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2312.11057","kind":"arxiv","version":2},"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":"sha256:0d0fc7af78587983b3c79bf6b5a3236adeaa81dba6c195cf5501343c7b6bd7c8","target":"record","created_at":"2026-07-05T07:26:20Z","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":"999794660beedb22d239519ee3cfa30da109c88dbdbf7a350f1b340f134f9cf6","cross_cats_sorted":["cs.AI","cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2023-12-18T09:40:38Z","title_canon_sha256":"15f0ddaa0dbde215e0b48333f96f973ba40fcbfc9e178ac38ad0b812516dae95"},"schema_version":"1.0","source":{"id":"2312.11057","kind":"arxiv","version":2}},"canonical_sha256":"1cddcd253a708f215d155b6504fb993ee71568fb4357de77ac21c87c7c0d021c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1cddcd253a708f215d155b6504fb993ee71568fb4357de77ac21c87c7c0d021c","first_computed_at":"2026-07-05T07:26:20.182434Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:26:20.182434Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"OelCgTCBIjL9+K8a2TNhklUXcoV2FYEmvU9LecnTP7XGp6Rgf+1ggXmczk5npZfaNjBJurm1+xUU5MYMSqgDBA==","signature_status":"signed_v1","signed_at":"2026-07-05T07:26:20.182944Z","signed_message":"canonical_sha256_bytes"},"source_id":"2312.11057","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0d0fc7af78587983b3c79bf6b5a3236adeaa81dba6c195cf5501343c7b6bd7c8","sha256:315207e942fce7e1009f04a5ca1bdfe190868659811cf76dd7643f10df1c4eb8"],"state_sha256":"f9c4fa691327d69a606b2d8f8b654d9b4465871128f6e93de202fd31e36f5b67"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"6qswkVXmG8yeG23kcHCASU3sjPB6MbLpAuzqTE4pVzOgFfICoc8+Hh1CBTBlcDtf125gTM9DdSnsgUdOCyK7AA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-15T19:26:44.953527Z","bundle_sha256":"e2c4cf8d33739f0504dd731be92aa268cbbd1c87c995948bc0c10432a750739f"}}