{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:RLZ7SN24P64GIS75SH7VNN2PXK","short_pith_number":"pith:RLZ7SN24","canonical_record":{"source":{"id":"2410.01264","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-10-02T06:21:00Z","cross_cats_sorted":[],"title_canon_sha256":"d9792e31a8e74644d816115aec329f9d2aaa3b1962267872d859e9e8a0ae4716","abstract_canon_sha256":"593fdc0aa35bdc9badbb9c4c96f8ab4d62c5d27dd7341659d7cc780b7a374784"},"schema_version":"1.0"},"canonical_sha256":"8af3f9375c7fb8644bfd91ff56b74fbabef070b41d3273c0485bda648cfc399e","source":{"kind":"arxiv","id":"2410.01264","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.01264","created_at":"2026-07-05T10:21:23Z"},{"alias_kind":"arxiv_version","alias_value":"2410.01264v2","created_at":"2026-07-05T10:21:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.01264","created_at":"2026-07-05T10:21:23Z"},{"alias_kind":"pith_short_12","alias_value":"RLZ7SN24P64G","created_at":"2026-07-05T10:21:23Z"},{"alias_kind":"pith_short_16","alias_value":"RLZ7SN24P64GIS75","created_at":"2026-07-05T10:21:23Z"},{"alias_kind":"pith_short_8","alias_value":"RLZ7SN24","created_at":"2026-07-05T10:21:23Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:RLZ7SN24P64GIS75SH7VNN2PXK","target":"record","payload":{"canonical_record":{"source":{"id":"2410.01264","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-10-02T06:21:00Z","cross_cats_sorted":[],"title_canon_sha256":"d9792e31a8e74644d816115aec329f9d2aaa3b1962267872d859e9e8a0ae4716","abstract_canon_sha256":"593fdc0aa35bdc9badbb9c4c96f8ab4d62c5d27dd7341659d7cc780b7a374784"},"schema_version":"1.0"},"canonical_sha256":"8af3f9375c7fb8644bfd91ff56b74fbabef070b41d3273c0485bda648cfc399e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:21:23.608211Z","signature_b64":"Shx4NPEsc/Z0ZJzmw5ZaER/lI1iolCoWIHpZTtK5dl6qa+ZdvuxP3qS4ZLnvNlUvWaBcFPVQbIFLzHbrUEsJDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8af3f9375c7fb8644bfd91ff56b74fbabef070b41d3273c0485bda648cfc399e","last_reissued_at":"2026-07-05T10:21:23.607688Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:21:23.607688Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2410.01264","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":"2026-07-05T10:21:23Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"PJ1YkHskReyfV3cPkZM2DmlhWkPQKo5pTTAaAY+zSKzWmPWWYspHzGN92ROeEvtERsv3oLhs4ER9N+Be/c/JDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-12T14:57:19.761628Z"},"content_sha256":"ba96cf9c7914c68a3cab65df0d2cb2709737fbb3835b0e0e5684d5ca72f6236d","schema_version":"1.0","event_id":"sha256:ba96cf9c7914c68a3cab65df0d2cb2709737fbb3835b0e0e5684d5ca72f6236d"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:RLZ7SN24P64GIS75SH7VNN2PXK","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Backdooring Vision-Language Models with Out-Of-Distribution Data","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Chao Chen, Haibin Ling, Jiachen Yao, Lijie Hu, Lingjie Yi, Lu Pang, Saumya Gupta, Tao Sun, Weimin Lyu","submitted_at":"2024-10-02T06:21:00Z","abstract_excerpt":"The emergence of Vision-Language Models (VLMs) represents a significant advancement in integrating computer vision with Large Language Models (LLMs) to generate detailed text descriptions from visual inputs. Despite their growing importance, the security of VLMs, particularly against backdoor attacks, is under explored. Moreover, prior works often assume attackers have access to the original training data, which is often unrealistic. In this paper, we address a more practical and challenging scenario where attackers must rely solely on Out-Of-Distribution (OOD) data. We introduce VLOOD (Backdo"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.01264","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/2410.01264/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":"2026-07-05T10:21:23Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ngYm1BzS6lnTK6u70hVc5StAPO+Za7getKb4+LfC0N95WsfgYmFuSw3dvyOz+OkjTcGaGrWmDh9Uqa0hw1IBCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-12T14:57:19.762453Z"},"content_sha256":"c2c5ae0f51d89915778f29d165cdeba9d73c08155c13a03cf745d14f8b5e8ee8","schema_version":"1.0","event_id":"sha256:c2c5ae0f51d89915778f29d165cdeba9d73c08155c13a03cf745d14f8b5e8ee8"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/RLZ7SN24P64GIS75SH7VNN2PXK/bundle.json","state_url":"https://pith.science/pith/RLZ7SN24P64GIS75SH7VNN2PXK/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/RLZ7SN24P64GIS75SH7VNN2PXK/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":"2026-08-12T14:57:19Z","links":{"resolver":"https://pith.science/pith/RLZ7SN24P64GIS75SH7VNN2PXK","bundle":"https://pith.science/pith/RLZ7SN24P64GIS75SH7VNN2PXK/bundle.json","state":"https://pith.science/pith/RLZ7SN24P64GIS75SH7VNN2PXK/state.json","well_known_bundle":"https://pith.science/.well-known/pith/RLZ7SN24P64GIS75SH7VNN2PXK/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:RLZ7SN24P64GIS75SH7VNN2PXK","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":"593fdc0aa35bdc9badbb9c4c96f8ab4d62c5d27dd7341659d7cc780b7a374784","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-10-02T06:21:00Z","title_canon_sha256":"d9792e31a8e74644d816115aec329f9d2aaa3b1962267872d859e9e8a0ae4716"},"schema_version":"1.0","source":{"id":"2410.01264","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.01264","created_at":"2026-07-05T10:21:23Z"},{"alias_kind":"arxiv_version","alias_value":"2410.01264v2","created_at":"2026-07-05T10:21:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.01264","created_at":"2026-07-05T10:21:23Z"},{"alias_kind":"pith_short_12","alias_value":"RLZ7SN24P64G","created_at":"2026-07-05T10:21:23Z"},{"alias_kind":"pith_short_16","alias_value":"RLZ7SN24P64GIS75","created_at":"2026-07-05T10:21:23Z"},{"alias_kind":"pith_short_8","alias_value":"RLZ7SN24","created_at":"2026-07-05T10:21:23Z"}],"graph_snapshots":[{"event_id":"sha256:c2c5ae0f51d89915778f29d165cdeba9d73c08155c13a03cf745d14f8b5e8ee8","target":"graph","created_at":"2026-07-05T10:21:23Z","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/2410.01264/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The emergence of Vision-Language Models (VLMs) represents a significant advancement in integrating computer vision with Large Language Models (LLMs) to generate detailed text descriptions from visual inputs. Despite their growing importance, the security of VLMs, particularly against backdoor attacks, is under explored. Moreover, prior works often assume attackers have access to the original training data, which is often unrealistic. In this paper, we address a more practical and challenging scenario where attackers must rely solely on Out-Of-Distribution (OOD) data. We introduce VLOOD (Backdo","authors_text":"Chao Chen, Haibin Ling, Jiachen Yao, Lijie Hu, Lingjie Yi, Lu Pang, Saumya Gupta, Tao Sun, Weimin Lyu","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-10-02T06:21:00Z","title":"Backdooring Vision-Language Models with Out-Of-Distribution Data"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.01264","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:ba96cf9c7914c68a3cab65df0d2cb2709737fbb3835b0e0e5684d5ca72f6236d","target":"record","created_at":"2026-07-05T10:21:23Z","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":"593fdc0aa35bdc9badbb9c4c96f8ab4d62c5d27dd7341659d7cc780b7a374784","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-10-02T06:21:00Z","title_canon_sha256":"d9792e31a8e74644d816115aec329f9d2aaa3b1962267872d859e9e8a0ae4716"},"schema_version":"1.0","source":{"id":"2410.01264","kind":"arxiv","version":2}},"canonical_sha256":"8af3f9375c7fb8644bfd91ff56b74fbabef070b41d3273c0485bda648cfc399e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8af3f9375c7fb8644bfd91ff56b74fbabef070b41d3273c0485bda648cfc399e","first_computed_at":"2026-07-05T10:21:23.607688Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:21:23.607688Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Shx4NPEsc/Z0ZJzmw5ZaER/lI1iolCoWIHpZTtK5dl6qa+ZdvuxP3qS4ZLnvNlUvWaBcFPVQbIFLzHbrUEsJDg==","signature_status":"signed_v1","signed_at":"2026-07-05T10:21:23.608211Z","signed_message":"canonical_sha256_bytes"},"source_id":"2410.01264","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ba96cf9c7914c68a3cab65df0d2cb2709737fbb3835b0e0e5684d5ca72f6236d","sha256:c2c5ae0f51d89915778f29d165cdeba9d73c08155c13a03cf745d14f8b5e8ee8"],"state_sha256":"d6ae5399cc6e62ba3b3352862599a384a53af6849f40556179e971ec989cbaea"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ca8dbmznfOp2NimTOsFgYLSNVerGCOr1sc5UHW2GgN/eoll6v/ahOgzUf4wUd3Flj7VJfgO7uPQaP9eqcq8vAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-12T14:57:19.768680Z","bundle_sha256":"5b59248afbf55158dbc5e84385ec4e222a625b1fed2b5058c82b490f09ae845e"}}