Researchers propose a method for hiding faces while allowing biometric searches

A paper that has just been accepted to the Association for Computing Machinery’s (ACM) Transactions on Privacy and Security journal outlines a proposed universal face obfuscation method for a family of commercial off-the-shelf (COTS) facial recognition algorithms.

The research paper, authored by Chinese students at Xidian University and the University of South Florida, is titled like a proverb: “Eyes See Hazy while Algorithms Recognize Who You Are.” It argues that evolving privacy laws such as the GDPR have made …

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