Quantifying Bias in a Face Verification System

Machine learning models perform face verification (FV) for a variety of highly consequential applications, such as biometric authentication, face identification, and surveillance. Many state-of-the-art FV systems suffer from unequal performance across demographic groups, which is commonly overlooked...

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Bibliographic Details
Main Authors: Frisella, Megan (Author), Khorrami, Pooya (Author), Matterer, Jason (Author), Kratkiewicz, Kendra (Author), Torres-Carrasquillo, Pedro (Author)
Format: Article
Language:English
Published: Multidisciplinary Digital Publishing Institute, 2022-04-25T12:36:10Z.
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