Optimizing Saliency-based Training for Improved Generalization in Biometric Attack Detection

Incorporating human-perceptual saliency into model training can improve generalization in biometric presentation attack detection and synthetic face detection tasks. The optimal level of saliency granularity and source varies across biometric modalities and model architectures.