{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:EE7I3MOC4OHYSOV6JFKYVZZTAT","short_pith_number":"pith:EE7I3MOC","canonical_record":{"source":{"id":"2311.11017","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-11-18T09:10:07Z","cross_cats_sorted":[],"title_canon_sha256":"961214769378878d35a70065c2d6797d54b4958fc2a2c048d8eed34d61baad8c","abstract_canon_sha256":"c2498c79656e13e24ba328f5b6ef654a308a3278d72bd131750a619e36caa5f8"},"schema_version":"1.0"},"canonical_sha256":"213e8db1c2e38f893abe49558ae73304e2e0cf0334b490805f3b2a5a0b557d90","source":{"kind":"arxiv","id":"2311.11017","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2311.11017","created_at":"2026-07-05T07:14:26Z"},{"alias_kind":"arxiv_version","alias_value":"2311.11017v1","created_at":"2026-07-05T07:14:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.11017","created_at":"2026-07-05T07:14:26Z"},{"alias_kind":"pith_short_12","alias_value":"EE7I3MOC4OHY","created_at":"2026-07-05T07:14:26Z"},{"alias_kind":"pith_short_16","alias_value":"EE7I3MOC4OHYSOV6","created_at":"2026-07-05T07:14:26Z"},{"alias_kind":"pith_short_8","alias_value":"EE7I3MOC","created_at":"2026-07-05T07:14:26Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:EE7I3MOC4OHYSOV6JFKYVZZTAT","target":"record","payload":{"canonical_record":{"source":{"id":"2311.11017","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-11-18T09:10:07Z","cross_cats_sorted":[],"title_canon_sha256":"961214769378878d35a70065c2d6797d54b4958fc2a2c048d8eed34d61baad8c","abstract_canon_sha256":"c2498c79656e13e24ba328f5b6ef654a308a3278d72bd131750a619e36caa5f8"},"schema_version":"1.0"},"canonical_sha256":"213e8db1c2e38f893abe49558ae73304e2e0cf0334b490805f3b2a5a0b557d90","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:14:26.626476Z","signature_b64":"5+0OkUtnhpUl5jWTarOa1wHqhDCsDizfqFgIqc1fhjDWNUZiB/5Xw6lmQ1unNtSbE2hfZeWT8lk26eTirXSjBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"213e8db1c2e38f893abe49558ae73304e2e0cf0334b490805f3b2a5a0b557d90","last_reissued_at":"2026-07-05T07:14:26.625985Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:14:26.625985Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2311.11017","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":"2026-07-05T07:14:26Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Wr+clwzrMNbAM2OlvCVWaBYSAxbscM0OPK9LeznOIaSg1g+uA3gv3x3Y/8pCH+U4nDgTR9fizzrodTdDSejiCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T12:18:50.042008Z"},"content_sha256":"9fa1c020f8a9aa7de78be04e187e3777dbd5dd995034653cfdf4d2244f2556b4","schema_version":"1.0","event_id":"sha256:9fa1c020f8a9aa7de78be04e187e3777dbd5dd995034653cfdf4d2244f2556b4"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:EE7I3MOC4OHYSOV6JFKYVZZTAT","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Improving Adversarial Transferability by Stable Diffusion","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Ee-Chien Chang, Han Fang, Jiayang Liu, Jie Zhang, Siyuan Liang, Siyu Zhu, Weiming Zhang","submitted_at":"2023-11-18T09:10:07Z","abstract_excerpt":"Deep neural networks (DNNs) are susceptible to adversarial examples, which introduce imperceptible perturbations to benign samples, deceiving DNN predictions. While some attack methods excel in the white-box setting, they often struggle in the black-box scenario, particularly against models fortified with defense mechanisms. Various techniques have emerged to enhance the transferability of adversarial attacks for the black-box scenario. Among these, input transformation-based attacks have demonstrated their effectiveness. In this paper, we explore the potential of leveraging data generated by "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.11017","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/2311.11017/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":"2026-07-05T07:14:26Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"GPKPnhKz267LMOxjBQhpTyFFVD3Qfn6ZFtkedDjMhrBo/xCWB9QPXl3awsOnBKxbDUxUpoOUd5Bxqjjj2K/zDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T12:18:50.042488Z"},"content_sha256":"03ff2922f9c7495db55a30617e6d01e1d0ab4bc8ca489c03d4f5ac67007f6ba3","schema_version":"1.0","event_id":"sha256:03ff2922f9c7495db55a30617e6d01e1d0ab4bc8ca489c03d4f5ac67007f6ba3"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/EE7I3MOC4OHYSOV6JFKYVZZTAT/bundle.json","state_url":"https://pith.science/pith/EE7I3MOC4OHYSOV6JFKYVZZTAT/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/EE7I3MOC4OHYSOV6JFKYVZZTAT/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":"2026-08-05T12:18:50Z","links":{"resolver":"https://pith.science/pith/EE7I3MOC4OHYSOV6JFKYVZZTAT","bundle":"https://pith.science/pith/EE7I3MOC4OHYSOV6JFKYVZZTAT/bundle.json","state":"https://pith.science/pith/EE7I3MOC4OHYSOV6JFKYVZZTAT/state.json","well_known_bundle":"https://pith.science/.well-known/pith/EE7I3MOC4OHYSOV6JFKYVZZTAT/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:EE7I3MOC4OHYSOV6JFKYVZZTAT","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":"c2498c79656e13e24ba328f5b6ef654a308a3278d72bd131750a619e36caa5f8","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-11-18T09:10:07Z","title_canon_sha256":"961214769378878d35a70065c2d6797d54b4958fc2a2c048d8eed34d61baad8c"},"schema_version":"1.0","source":{"id":"2311.11017","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2311.11017","created_at":"2026-07-05T07:14:26Z"},{"alias_kind":"arxiv_version","alias_value":"2311.11017v1","created_at":"2026-07-05T07:14:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.11017","created_at":"2026-07-05T07:14:26Z"},{"alias_kind":"pith_short_12","alias_value":"EE7I3MOC4OHY","created_at":"2026-07-05T07:14:26Z"},{"alias_kind":"pith_short_16","alias_value":"EE7I3MOC4OHYSOV6","created_at":"2026-07-05T07:14:26Z"},{"alias_kind":"pith_short_8","alias_value":"EE7I3MOC","created_at":"2026-07-05T07:14:26Z"}],"graph_snapshots":[{"event_id":"sha256:03ff2922f9c7495db55a30617e6d01e1d0ab4bc8ca489c03d4f5ac67007f6ba3","target":"graph","created_at":"2026-07-05T07:14:26Z","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/2311.11017/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Deep neural networks (DNNs) are susceptible to adversarial examples, which introduce imperceptible perturbations to benign samples, deceiving DNN predictions. While some attack methods excel in the white-box setting, they often struggle in the black-box scenario, particularly against models fortified with defense mechanisms. Various techniques have emerged to enhance the transferability of adversarial attacks for the black-box scenario. Among these, input transformation-based attacks have demonstrated their effectiveness. In this paper, we explore the potential of leveraging data generated by ","authors_text":"Ee-Chien Chang, Han Fang, Jiayang Liu, Jie Zhang, Siyuan Liang, Siyu Zhu, Weiming Zhang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-11-18T09:10:07Z","title":"Improving Adversarial Transferability by Stable Diffusion"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.11017","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":"sha256:9fa1c020f8a9aa7de78be04e187e3777dbd5dd995034653cfdf4d2244f2556b4","target":"record","created_at":"2026-07-05T07:14:26Z","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":"c2498c79656e13e24ba328f5b6ef654a308a3278d72bd131750a619e36caa5f8","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-11-18T09:10:07Z","title_canon_sha256":"961214769378878d35a70065c2d6797d54b4958fc2a2c048d8eed34d61baad8c"},"schema_version":"1.0","source":{"id":"2311.11017","kind":"arxiv","version":1}},"canonical_sha256":"213e8db1c2e38f893abe49558ae73304e2e0cf0334b490805f3b2a5a0b557d90","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"213e8db1c2e38f893abe49558ae73304e2e0cf0334b490805f3b2a5a0b557d90","first_computed_at":"2026-07-05T07:14:26.625985Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:14:26.625985Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"5+0OkUtnhpUl5jWTarOa1wHqhDCsDizfqFgIqc1fhjDWNUZiB/5Xw6lmQ1unNtSbE2hfZeWT8lk26eTirXSjBA==","signature_status":"signed_v1","signed_at":"2026-07-05T07:14:26.626476Z","signed_message":"canonical_sha256_bytes"},"source_id":"2311.11017","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9fa1c020f8a9aa7de78be04e187e3777dbd5dd995034653cfdf4d2244f2556b4","sha256:03ff2922f9c7495db55a30617e6d01e1d0ab4bc8ca489c03d4f5ac67007f6ba3"],"state_sha256":"1f12fdbc187ca989f374cdce93415d6c75561100b7d4fb2d2a8d717110a9def6"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"HpFFliGnmi37Wlm9xsf20sm1eQCwhonkJYFdC+OAPWuYBbzVS4ng9GAO9ZFe4q8N25rcTFG9029U9aITJb2jAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T12:18:50.046458Z","bundle_sha256":"a8ef27fa1fc91ceba7354cd39ee0e48dc590c69466c4390f206e0f3f1a5e5224"}}