Effective and Robust Physical-World Attacks on Deep Learning Face Recognition Systems
Deep neural networks (DNNs) have been increasingly used in face recognition (FR) systems. Recent studies, however, show that DNNs are vulnerable to adversarial examples, which potentially mislead DNN-based FR systems in the physical world.
Deep neural networks (DNNs) have been increasingly used in face recognition (FR) systems. Recent studies, however, show that DNNs are vulnerable to adversarial examples, which potentially mislead DNN-based FR systems in the physical world.
Dnns, physical world, adversarial examples, recent studies, face recognition, DNN-based FR systems, deep neural networks
