Yuying Su

Cleaning Adversarial Perturbations via Residual Generative Network for Face Verification

Deep neural networks (DNNs) have recently achieved impressive performances on various applications. However, recent researches show that DNNs are vulnerable to adversarial perturbations injected into input samples. In this paper, we investigate a defense method for face verification: a deep residual…