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Race Bias Analysis of Bona Fide Errors in face anti-spoofing
The study of bias in Machine Learning is receiving a lot of attention in recent years, however, few only papers deal explicitly with the problem of race bias in face anti-spoofing.
Use of in-the-wild images for anomaly detection in face anti-spoofing
The traditional approach to face anti-spoofing sees it as a binary classification problem, and binary classifiers are trained and validated on specialized anti-spoofing databases.
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