Nov. 16, 2023, 7:31 p.m. | Joel R. McConvey

Biometric Update www.biometricupdate.com


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 …

accuracy acm algorithms biometric biometric matching biometric r&d biometrics biometrics news biometrics research chinese commercial computing data privacy facial facial recognition family journal obfuscation privacy privacy and security recognition research researchers research paper searches security students transactions university

More from www.biometricupdate.com / Biometric Update

Security Specialist

@ Protect Democracy | Remote, US

Experienced Security Compliance - HITRUST

@ Gainwell Technologies | Any city, TX, US, 99999

24 x 7 Security Analyst

@ LRQA | Birmingham, GB, B37 7ES

Associate Information Security Governance - #catalystWSP

@ Singtel | Singapore, Singapore

Security Consulting and Risk Officer

@ Metrobank | Taguig, Philippines

Security Threat Analyst

@ Metrobank | Taguig, Philippines