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