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News/StyleAT: Defending Face Recognition Against Semantic Attacks
arxiv
PublishedSeptember 23, 2026 at 4:00 AM

StyleAT: Defending Face Recognition Against Semantic Attacks

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arXiv:2609.23596v1 Announce Type: cross Abstract: With face-recognition models now embedded in everyday authentication and surveillance, recent works have pinpointed a critical weakness: these models remain acutely vulnerable to adversarial semantic edits. I.e., adversarially produced semantic alter

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