{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:VT4HCJZJIOPGGTVGPIN2LG77DD","short_pith_number":"pith:VT4HCJZJ","schema_version":"1.0","canonical_sha256":"acf8712729439e634ea67a1ba59bff18de96f0851f017c44341c5320d986d379","source":{"kind":"arxiv","id":"2502.06390","version":2},"attestation_state":"computed","paper":{"title":"When Data Manipulation Meets Attack Goals: An In-depth Survey of Attacks for VLMs","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Aobotao Dai, Lei Chen, Lin Wang, Songze Li, Xinyu Ma","submitted_at":"2025-02-10T12:20:08Z","abstract_excerpt":"Vision-Language Models (VLMs) have gained considerable prominence in recent years due to their remarkable capability to effectively integrate and process both textual and visual information. This integration has significantly enhanced performance across a diverse spectrum of applications, such as scene perception and robotics. However, the deployment of VLMs has also given rise to critical safety and security concerns, necessitating extensive research to assess the potential vulnerabilities these VLM systems may harbor. In this work, we present an in-depth survey of the attack strategies tailo"},"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":"2502.06390","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-02-10T12:20:08Z","cross_cats_sorted":[],"title_canon_sha256":"0291f93076b9c780fa1be9de61144a89f83c3df0f720fa60aac03e35f805fd3b","abstract_canon_sha256":"447dfe7e2d2fdae4e7bc02f4b124659de73b0b253881e8bf52f8a7762cbc75e9"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:12:27.781121Z","signature_b64":"sGBjXtUoGo/4NyBBmDWsegJgm5U46bo9tCZCNLqSMj1pf5lh9Fieq4GKBEtCml32WFQ2boS5tXwXOvUVE7INCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"acf8712729439e634ea67a1ba59bff18de96f0851f017c44341c5320d986d379","last_reissued_at":"2026-07-05T10:12:27.780652Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:12:27.780652Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"When Data Manipulation Meets Attack Goals: An In-depth Survey of Attacks for VLMs","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Aobotao Dai, Lei Chen, Lin Wang, Songze Li, Xinyu Ma","submitted_at":"2025-02-10T12:20:08Z","abstract_excerpt":"Vision-Language Models (VLMs) have gained considerable prominence in recent years due to their remarkable capability to effectively integrate and process both textual and visual information. This integration has significantly enhanced performance across a diverse spectrum of applications, such as scene perception and robotics. However, the deployment of VLMs has also given rise to critical safety and security concerns, necessitating extensive research to assess the potential vulnerabilities these VLM systems may harbor. In this work, we present an in-depth survey of the attack strategies tailo"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.06390","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/2502.06390/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":"2502.06390","created_at":"2026-07-05T10:12:27.780709+00:00"},{"alias_kind":"arxiv_version","alias_value":"2502.06390v2","created_at":"2026-07-05T10:12:27.780709+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.06390","created_at":"2026-07-05T10:12:27.780709+00:00"},{"alias_kind":"pith_short_12","alias_value":"VT4HCJZJIOPG","created_at":"2026-07-05T10:12:27.780709+00:00"},{"alias_kind":"pith_short_16","alias_value":"VT4HCJZJIOPGGTVG","created_at":"2026-07-05T10:12:27.780709+00:00"},{"alias_kind":"pith_short_8","alias_value":"VT4HCJZJ","created_at":"2026-07-05T10:12:27.780709+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/VT4HCJZJIOPGGTVGPIN2LG77DD","json":"https://pith.science/pith/VT4HCJZJIOPGGTVGPIN2LG77DD.json","graph_json":"https://pith.science/api/pith-number/VT4HCJZJIOPGGTVGPIN2LG77DD/graph.json","events_json":"https://pith.science/api/pith-number/VT4HCJZJIOPGGTVGPIN2LG77DD/events.json","paper":"https://pith.science/paper/VT4HCJZJ"},"agent_actions":{"view_html":"https://pith.science/pith/VT4HCJZJIOPGGTVGPIN2LG77DD","download_json":"https://pith.science/pith/VT4HCJZJIOPGGTVGPIN2LG77DD.json","view_paper":"https://pith.science/paper/VT4HCJZJ","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2502.06390&json=true","fetch_graph":"https://pith.science/api/pith-number/VT4HCJZJIOPGGTVGPIN2LG77DD/graph.json","fetch_events":"https://pith.science/api/pith-number/VT4HCJZJIOPGGTVGPIN2LG77DD/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/VT4HCJZJIOPGGTVGPIN2LG77DD/action/timestamp_anchor","attest_storage":"https://pith.science/pith/VT4HCJZJIOPGGTVGPIN2LG77DD/action/storage_attestation","attest_author":"https://pith.science/pith/VT4HCJZJIOPGGTVGPIN2LG77DD/action/author_attestation","sign_citation":"https://pith.science/pith/VT4HCJZJIOPGGTVGPIN2LG77DD/action/citation_signature","submit_replication":"https://pith.science/pith/VT4HCJZJIOPGGTVGPIN2LG77DD/action/replication_record"}},"created_at":"2026-07-05T10:12:27.780709+00:00","updated_at":"2026-07-05T10:12:27.780709+00:00"}