Tianxing Jiang

Robustness and Generalization via Generative Adversarial Training

While deep neural networks have achieved remarkable success in various computer vision tasks, they often fail to generalize to subtle variations of input images. Several defenses have been proposed to improve the robustness against these variations. However, current defenses can only withstand the s…