Fast and Private 1-to-<inline-formula><tex-math notation="LaTeX">$N$</tex-math></inline-formula> Face Identification Protocols

Fast and Private 1-to-<inline-formula><tex-math notation="LaTeX">$N$</tex-math></inline-formula> Face Identification Protocols

Face identification is a pivotal aspect of user authentication across diverse domains, spanning from smartphone security to access control in high-security environments. Privacy-preserving face identification aims to authenticate users using facial images while preserving their privacy. In this arti...

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Bibliographic Details
Main Authors: Nuttapong Attrapadung, Reo Eriguchi, Goichiro Hanaoka, Takahiro Matsuda, Naohisa Nishida, Tatsumi Oba, Jacob C. N. Schuldt, Koki Tejima, Tadanori Teruya, Yuji Unagami, Naoto Yanai
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Open Journal of the Computer Society
Subjects:
Face identification
secret sharing
secure multiparty computation
privacy-preserving protocols
privacy-enhancing technologies
Online Access:https://ieeexplore.ieee.org/document/11045323/
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https://ieeexplore.ieee.org/document/11045323/

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