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...
| Główni autorzy: | , , , , |
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| Kolejni autorzy: | |
| Format: | Artykuł |
| Wydane: |
Multidisciplinary Digital Publishing Institute
2022
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| Dostęp online: | https://hdl.handle.net/1721.1/142034 |