{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:QD5UX6MK7TM36ZI2XNWMHHU3QB","short_pith_number":"pith:QD5UX6MK","schema_version":"1.0","canonical_sha256":"80fb4bf98afcd9bf651abb6cc39e9b805848d5c0c0c4f9bd52e11486bc3601fb","source":{"kind":"arxiv","id":"2606.06186","version":1},"attestation_state":"computed","paper":{"title":"Adversarial Attacks Already Tell the Answer: Directional Bias-Guided Test-time Defense for Vision-Language Models","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Jiamin Wu, Liangsheng Liu, Si Chen, Tianzhu Zhang, Weiwei Feng, Wenfei Yang, Xiaotian Yin, Zhixin Cheng","submitted_at":"2026-06-04T13:57:07Z","abstract_excerpt":"Vision-Language Models (VLMs), such as CLIP, have shown strong zero-shot generalization but remain highly vulnerable to adversarial perturbations, posing serious risks in real-world applications. Test-time defenses for VLMs have recently emerged as a promising and efficient approach to defend against adversarial attacks without requiring costly large-scale retraining. In this work, we uncover a surprising phenomenon: under diverse input transformations, adversarial images in CLIP's feature space consistently shift along a dominant direction, in contrast to the dispersed patterns of clean image"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2606.06186","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-06-04T13:57:07Z","cross_cats_sorted":[],"title_canon_sha256":"a969170543bb1de449a83ba631f3e4531c6d0e895d269e5629e32ce71402aad1","abstract_canon_sha256":"c5061614e4d27feeb52851db476f64a5c3df3c48700ac4b9c779ba26824ee0da"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-05T01:15:36.649892Z","signature_b64":"9MLDIrZWf4C6Crql0mhi2rjBtMDwUs1R1IW1au7+Dw+dfb37eVbWQEsd0G3I8IDJaW0x7aIwOm6/0q8u4sFSCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"80fb4bf98afcd9bf651abb6cc39e9b805848d5c0c0c4f9bd52e11486bc3601fb","last_reissued_at":"2026-06-05T01:15:36.649179Z","signature_status":"signed_v1","first_computed_at":"2026-06-05T01:15:36.649179Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Adversarial Attacks Already Tell the Answer: Directional Bias-Guided Test-time Defense for Vision-Language Models","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Jiamin Wu, Liangsheng Liu, Si Chen, Tianzhu Zhang, Weiwei Feng, Wenfei Yang, Xiaotian Yin, Zhixin Cheng","submitted_at":"2026-06-04T13:57:07Z","abstract_excerpt":"Vision-Language Models (VLMs), such as CLIP, have shown strong zero-shot generalization but remain highly vulnerable to adversarial perturbations, posing serious risks in real-world applications. Test-time defenses for VLMs have recently emerged as a promising and efficient approach to defend against adversarial attacks without requiring costly large-scale retraining. In this work, we uncover a surprising phenomenon: under diverse input transformations, adversarial images in CLIP's feature space consistently shift along a dominant direction, in contrast to the dispersed patterns of clean image"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.06186","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/2606.06186/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2606.06186","created_at":"2026-06-05T01:15:36.649286+00:00"},{"alias_kind":"arxiv_version","alias_value":"2606.06186v1","created_at":"2026-06-05T01:15:36.649286+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.06186","created_at":"2026-06-05T01:15:36.649286+00:00"},{"alias_kind":"pith_short_12","alias_value":"QD5UX6MK7TM3","created_at":"2026-06-05T01:15:36.649286+00:00"},{"alias_kind":"pith_short_16","alias_value":"QD5UX6MK7TM36ZI2","created_at":"2026-06-05T01:15:36.649286+00:00"},{"alias_kind":"pith_short_8","alias_value":"QD5UX6MK","created_at":"2026-06-05T01:15:36.649286+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/QD5UX6MK7TM36ZI2XNWMHHU3QB","json":"https://pith.science/pith/QD5UX6MK7TM36ZI2XNWMHHU3QB.json","graph_json":"https://pith.science/api/pith-number/QD5UX6MK7TM36ZI2XNWMHHU3QB/graph.json","events_json":"https://pith.science/api/pith-number/QD5UX6MK7TM36ZI2XNWMHHU3QB/events.json","paper":"https://pith.science/paper/QD5UX6MK"},"agent_actions":{"view_html":"https://pith.science/pith/QD5UX6MK7TM36ZI2XNWMHHU3QB","download_json":"https://pith.science/pith/QD5UX6MK7TM36ZI2XNWMHHU3QB.json","view_paper":"https://pith.science/paper/QD5UX6MK","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2606.06186&json=true","fetch_graph":"https://pith.science/api/pith-number/QD5UX6MK7TM36ZI2XNWMHHU3QB/graph.json","fetch_events":"https://pith.science/api/pith-number/QD5UX6MK7TM36ZI2XNWMHHU3QB/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/QD5UX6MK7TM36ZI2XNWMHHU3QB/action/timestamp_anchor","attest_storage":"https://pith.science/pith/QD5UX6MK7TM36ZI2XNWMHHU3QB/action/storage_attestation","attest_author":"https://pith.science/pith/QD5UX6MK7TM36ZI2XNWMHHU3QB/action/author_attestation","sign_citation":"https://pith.science/pith/QD5UX6MK7TM36ZI2XNWMHHU3QB/action/citation_signature","submit_replication":"https://pith.science/pith/QD5UX6MK7TM36ZI2XNWMHHU3QB/action/replication_record"}},"created_at":"2026-06-05T01:15:36.649286+00:00","updated_at":"2026-06-05T01:15:36.649286+00:00"}