{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:FJOSTJVZRW52MFC3DMVKFN66VI","short_pith_number":"pith:FJOSTJVZ","canonical_record":{"source":{"id":"2307.06608","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-07-13T08:10:48Z","cross_cats_sorted":["cs.AI","cs.CR"],"title_canon_sha256":"dd228c87241487f1660195295ac89e5a1bffe9d66b71558cb5047862374382ee","abstract_canon_sha256":"3059dfa10973f8a4cc47334d9cb2f2d1228ed5849a6c9ca3ca65496f14c18636"},"schema_version":"1.0"},"canonical_sha256":"2a5d29a6b98dbba6145b1b2aa2b7deaa0d6b9c8c2b33e8a9f85ea65804280732","source":{"kind":"arxiv","id":"2307.06608","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2307.06608","created_at":"2026-07-05T10:38:19Z"},{"alias_kind":"arxiv_version","alias_value":"2307.06608v3","created_at":"2026-07-05T10:38:19Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2307.06608","created_at":"2026-07-05T10:38:19Z"},{"alias_kind":"pith_short_12","alias_value":"FJOSTJVZRW52","created_at":"2026-07-05T10:38:19Z"},{"alias_kind":"pith_short_16","alias_value":"FJOSTJVZRW52MFC3","created_at":"2026-07-05T10:38:19Z"},{"alias_kind":"pith_short_8","alias_value":"FJOSTJVZ","created_at":"2026-07-05T10:38:19Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:FJOSTJVZRW52MFC3DMVKFN66VI","target":"record","payload":{"canonical_record":{"source":{"id":"2307.06608","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-07-13T08:10:48Z","cross_cats_sorted":["cs.AI","cs.CR"],"title_canon_sha256":"dd228c87241487f1660195295ac89e5a1bffe9d66b71558cb5047862374382ee","abstract_canon_sha256":"3059dfa10973f8a4cc47334d9cb2f2d1228ed5849a6c9ca3ca65496f14c18636"},"schema_version":"1.0"},"canonical_sha256":"2a5d29a6b98dbba6145b1b2aa2b7deaa0d6b9c8c2b33e8a9f85ea65804280732","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:38:19.477946Z","signature_b64":"bPkX/mSWo0baccacftgOT7LWP2WM10vUIoptu7e/54fZUIemerOhpRQ/27jhkRLHzEM6v78yo2X/mz3XD9ZmCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2a5d29a6b98dbba6145b1b2aa2b7deaa0d6b9c8c2b33e8a9f85ea65804280732","last_reissued_at":"2026-07-05T10:38:19.477420Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:38:19.477420Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2307.06608","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T10:38:19Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"kA/QkLpfXV5sUwbHwoA3Bt74kN5znriZdXnORXADdhxtXizTOLa/O5+c5UHaqXK6JGr7n5su6+bUCyHeo9NgBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T16:55:51.070933Z"},"content_sha256":"14ca7fdb268b11d6797e1534584619c36767c3407271a0a450aa3e771b878d01","schema_version":"1.0","event_id":"sha256:14ca7fdb268b11d6797e1534584619c36767c3407271a0a450aa3e771b878d01"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:FJOSTJVZRW52MFC3DMVKFN66VI","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"MF-CLIP: Leveraging CLIP as Surrogate Models for No-box Adversarial Attacks","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.CR"],"primary_cat":"cs.LG","authors_text":"Changsheng Xu, Dit-Yan Yeung, Jiaming Zhang, Jitao Sang, Lingyu Qiu, Qi Yi, Yige Li","submitted_at":"2023-07-13T08:10:48Z","abstract_excerpt":"The vulnerability of Deep Neural Networks (DNNs) to adversarial attacks poses a significant challenge to their deployment in safety-critical applications. While extensive research has addressed various attack scenarios, the no-box attack setting where adversaries have no prior knowledge, including access to training data of the target model, remains relatively underexplored despite its practical relevance. This work presents a systematic investigation into leveraging large-scale Vision-Language Models (VLMs), particularly CLIP, as surrogate models for executing no-box attacks. Our theoretical "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2307.06608","kind":"arxiv","version":3},"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/2307.06608/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":"2026-07-05T10:38:19Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"CCU3Q+pNPkNNSOip9FXSh/3jQEM6psY8JfTmPBU1s6asBNxsws1zL+B6VgtqpZmiiDbF9kMjS4gCD+ueMQR6Ag==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T16:55:51.071307Z"},"content_sha256":"637e6abbe8fb441ec8e415ed89e0f414be13508df65b378a5c809587049a5403","schema_version":"1.0","event_id":"sha256:637e6abbe8fb441ec8e415ed89e0f414be13508df65b378a5c809587049a5403"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/FJOSTJVZRW52MFC3DMVKFN66VI/bundle.json","state_url":"https://pith.science/pith/FJOSTJVZRW52MFC3DMVKFN66VI/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/FJOSTJVZRW52MFC3DMVKFN66VI/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":"2026-07-06T16:55:51Z","links":{"resolver":"https://pith.science/pith/FJOSTJVZRW52MFC3DMVKFN66VI","bundle":"https://pith.science/pith/FJOSTJVZRW52MFC3DMVKFN66VI/bundle.json","state":"https://pith.science/pith/FJOSTJVZRW52MFC3DMVKFN66VI/state.json","well_known_bundle":"https://pith.science/.well-known/pith/FJOSTJVZRW52MFC3DMVKFN66VI/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:FJOSTJVZRW52MFC3DMVKFN66VI","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":"3059dfa10973f8a4cc47334d9cb2f2d1228ed5849a6c9ca3ca65496f14c18636","cross_cats_sorted":["cs.AI","cs.CR"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-07-13T08:10:48Z","title_canon_sha256":"dd228c87241487f1660195295ac89e5a1bffe9d66b71558cb5047862374382ee"},"schema_version":"1.0","source":{"id":"2307.06608","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2307.06608","created_at":"2026-07-05T10:38:19Z"},{"alias_kind":"arxiv_version","alias_value":"2307.06608v3","created_at":"2026-07-05T10:38:19Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2307.06608","created_at":"2026-07-05T10:38:19Z"},{"alias_kind":"pith_short_12","alias_value":"FJOSTJVZRW52","created_at":"2026-07-05T10:38:19Z"},{"alias_kind":"pith_short_16","alias_value":"FJOSTJVZRW52MFC3","created_at":"2026-07-05T10:38:19Z"},{"alias_kind":"pith_short_8","alias_value":"FJOSTJVZ","created_at":"2026-07-05T10:38:19Z"}],"graph_snapshots":[{"event_id":"sha256:637e6abbe8fb441ec8e415ed89e0f414be13508df65b378a5c809587049a5403","target":"graph","created_at":"2026-07-05T10:38:19Z","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/2307.06608/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The vulnerability of Deep Neural Networks (DNNs) to adversarial attacks poses a significant challenge to their deployment in safety-critical applications. While extensive research has addressed various attack scenarios, the no-box attack setting where adversaries have no prior knowledge, including access to training data of the target model, remains relatively underexplored despite its practical relevance. This work presents a systematic investigation into leveraging large-scale Vision-Language Models (VLMs), particularly CLIP, as surrogate models for executing no-box attacks. Our theoretical ","authors_text":"Changsheng Xu, Dit-Yan Yeung, Jiaming Zhang, Jitao Sang, Lingyu Qiu, Qi Yi, Yige Li","cross_cats":["cs.AI","cs.CR"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-07-13T08:10:48Z","title":"MF-CLIP: Leveraging CLIP as Surrogate Models for No-box Adversarial Attacks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2307.06608","kind":"arxiv","version":3},"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":"sha256:14ca7fdb268b11d6797e1534584619c36767c3407271a0a450aa3e771b878d01","target":"record","created_at":"2026-07-05T10:38:19Z","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":"3059dfa10973f8a4cc47334d9cb2f2d1228ed5849a6c9ca3ca65496f14c18636","cross_cats_sorted":["cs.AI","cs.CR"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-07-13T08:10:48Z","title_canon_sha256":"dd228c87241487f1660195295ac89e5a1bffe9d66b71558cb5047862374382ee"},"schema_version":"1.0","source":{"id":"2307.06608","kind":"arxiv","version":3}},"canonical_sha256":"2a5d29a6b98dbba6145b1b2aa2b7deaa0d6b9c8c2b33e8a9f85ea65804280732","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2a5d29a6b98dbba6145b1b2aa2b7deaa0d6b9c8c2b33e8a9f85ea65804280732","first_computed_at":"2026-07-05T10:38:19.477420Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:38:19.477420Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"bPkX/mSWo0baccacftgOT7LWP2WM10vUIoptu7e/54fZUIemerOhpRQ/27jhkRLHzEM6v78yo2X/mz3XD9ZmCg==","signature_status":"signed_v1","signed_at":"2026-07-05T10:38:19.477946Z","signed_message":"canonical_sha256_bytes"},"source_id":"2307.06608","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:14ca7fdb268b11d6797e1534584619c36767c3407271a0a450aa3e771b878d01","sha256:637e6abbe8fb441ec8e415ed89e0f414be13508df65b378a5c809587049a5403"],"state_sha256":"9d09b43d14d6465f72e3c7d0075128d1ee8da50ed024e81c31212bd8bfaed519"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"6IKpF/+KjZzgt4t4DAYDvWhUYOJzWzUChbfJ/WuZOTlsUDZATgIDCVDKmfHqLFPRq2uSldWJnfnFo7UEXd8CCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-06T16:55:51.073197Z","bundle_sha256":"4f42fa79138993a573417d62edc304aa11f61a0094d6f11b25f12eff3692c1ed"}}