Deep Learning approaches have achieved revolutionary performance improvement on many computer vision tasks from understanding natural images and videos to analyzing medical images. Besides building more complex deep neural networks (DNNs) and …
While successful for various computer vision tasks, deep neural networks have shown to be vulnerable to texture style shifts and small perturbations to which humans are robust. In this work, we show that the robustness of neural networks can be …