Federated Test-Time Adaptive Face Presentation Attack Detection with Dual-Phase Privacy Preservation

2021 16th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2021)(2021)

Cited 3|Views17
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Abstract
Face presentation attack detection (fPAD) plays a critical role in the modern face recognition pipeline. The generalization ability of face presentation attack detection models to unseen attacks has become a key issue for real-world deployment, which can be improved when models are trained with face images from different input distributions and different types of spoof attacks. In reality, due to ...
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Key words
Training,Adaptation models,Data privacy,Data centers,Face recognition,Soft sensors,Predictive models
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