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Privacy-Preserving Face Recognition: A Secure Approach to Identifying Individuals
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This document discusses the development and implementation of privacy-preserving face recognition systems. It highlights the challenges associated with traditional face recognition technologies, particularly regarding personal data security and individual privacy. The authors propose a novel operational framework that enhances the security of face recognition while maintaining accuracy. The research involves collaboration among experts in cryptography and multimedia processing, paving the way for future advancements in secure identification technologies.
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Privacy-Preserving Face Recognition: A Secure Approach to Identifying Individuals
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Presentation Transcript
Privacy-Preserving Face Recognition Zekeriya Erkin1, Martin Franz2, Jorge Guajardo3, Stefan Katzenbeisser2, Inald Lagendijk1, and Tomas Toft4
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