{"data":{"id":"41db0365-0612-49e3-8c8b-ff798a0ae6ea","title":"AdvDiffusion: Adversarial Patches Generation for Face Recognition With High Transferability in Physical Domain","summary":"Researchers developed AdvDiffusion, a method that creates adversarial patches (special sticker patterns) that can fool face recognition systems into misidentifying people, even in real-world physical environments. The technique uses a diffusion model (an AI that learns to remove noise from images) to generate patches that work against black-box models (AI systems the attacker cannot see inside). These adversarial patches are more effective and transferable across different face recognition systems than previous attack 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,"affectedVendors":[],"affectedVendorsRaw":[],"classifierModel":"claude-haiku-4-5-20251001","classifierPromptVersion":"v3","cvssVector":null,"attackVector":null,"attackComplexity":null,"privilegesRequired":null,"userInteraction":null,"exploitMaturity":null,"epssScore":null,"patchAvailable":null,"disclosureDate":"2026-03-02T13:18:34.000Z","capecIds":null,"crossRefCount":0,"attackSophistication":"advanced","impactType":["integrity","safety"],"aiComponentTargeted":"model","llmSpecific":false,"classifierConfidence":0.85,"researchCategory":"peer_reviewed","atlasIds":null}}