{"data":{"id":"41db0365-0612-49e3-8c8b-ff798a0ae6ea","title":"AdvDiffusion: Adversarial Patches Generation for Face Recognition With High Transferability in Physical Domain","summary":"The paper presents AdvDiffusion, a method for generating adversarial face patches that can be pasted onto a face to cause face recognition models to make false identity judgments. It first selects a patch region using facial gradient maps, then adds noise to an image and denoises it with a pre-trained diffusion model, guided by an adversarial loss. Experiments report effective attacks on black-box face recognition models in both digital and physical settings, with better robustness to complex physical environments than some state-of-the-art methods.","solution":"N/A -- no mitigation discussed in source.","labels":["security","research"],"sourceUrl":"http://ieeexplore.ieee.org/document/11418702","publishedAt":"2026-03-02T13:18:34.000Z","cveId":null,"cweIds":null,"cvssScore":null,"cvssSeverity":null,"severity":"info","attackType":["model_evasion"],"issueType":"research","affectedPackages":null,"affectedPackageNames":null,"affectedPackageRefs":null,"affectedVendors":[],"affectedVendorsRaw":["face recognition models","pre-trained diffusion model"],"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":"2026-03-02T13:18:34.000Z","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}}