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)

引用 3|浏览11
暂无评分
摘要
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 ...
更多
查看译文
关键词
Training,Adaptation models,Data privacy,Data centers,Face recognition,Soft sensors,Predictive models
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要