{"data":{"id":"b1fc5117-3fe7-4173-815a-cf926a433b6c","title":"Benchmarking Deepfake Attacks on Deep Face Recognition Systems","summary":"Researchers created a testing framework to evaluate how deepfakes (AI-generated fake videos or images of people) can fool face recognition systems (AI that identifies people by their faces). The study found that deepfake attacks succeed over 70% of the time, sometimes exceeding 90%, and discovered that attack success depends more on how well attackers can control the person's identity in the fake content rather than on how realistic the deepfake looks visually.","solution":"N/A -- no mitigation discussed in source.","labels":["security","research"],"sourceUrl":"http://ieeexplore.ieee.org/document/11520290","publishedAt":"2026-05-14T13:17:22.000Z","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":"2026-05-14T13:17:22.000Z","capecIds":null,"crossRefCount":0,"attackSophistication":"advanced","impactType":["integrity","safety"],"aiComponentTargeted":"model","llmSpecific":false,"classifierConfidence":0.85,"researchCategory":"peer_reviewed","atlasIds":null}}