{"data":{"id":"40a9beb6-eef9-40cb-8fb0-b5dc0a859b33","title":"Query-Efficient Hard-Label Attacks Against Black-Box Image Forgery Localization Model via Reinforcement Learning","summary":"Researchers propose AdvFor, a query-efficient black-box attack for image forgery localization models that only return hard, mask-only binary outputs. The method learns a transferable attack policy with reinforcement learning, formulated as a finite-horizon Markov Decision Process, and uses a fixed budget of T=7 queries per image. Experiments on six benchmark datasets and multiple modern localization models show it outperforms representative baselines under the same perturbation constraints, including under deployment-style defenses.","solution":"N/A -- no mitigation discussed in source.","labels":["security","research"],"sourceUrl":"http://ieeexplore.ieee.org/document/11482656","publishedAt":"2026-04-16T13:17:03.000Z","cveId":null,"cweIds":null,"cvssScore":null,"cvssSeverity":null,"severity":"info","attackType":["model_evasion"],"issueType":"research","affectedPackages":null,"affectedPackageNames":null,"affectedPackageRefs":null,"affectedVendors":[],"affectedVendorsRaw":[],"classifierModel":"claude-haiku-5-5","classifierPromptVersion":"v4","summaryPromptVersion":"v2","headline":null,"headlinePromptVersion":null,"cvssVector":null,"attackVector":null,"attackComplexity":null,"privilegesRequired":null,"userInteraction":null,"exploitMaturity":null,"epssScore":null,"epssCheckedAt":null,"kevDateAdded":null,"advisoryAliases":null,"affectedPackagesSource":null,"affectedPackagesCheckedAt":null,"patchAvailable":null,"disclosureDate":"2026-04-16T13:17:03.000Z","fixReleasedAt":null,"daysToFix":null,"fixCheckedAt":null,"capecIds":null,"crossRefCount":0,"attackSophistication":"advanced","impactType":["integrity"],"aiComponentTargeted":"model","llmSpecific":false,"classifierConfidence":0.9,"researchCategory":"peer_reviewed","atlasIds":null}}