Beyond $L_{p}$ Norms: Delving Deeper into Robustness to Physical Image Transformations

With the increasing adoption of deep learning in computer vision-based applications, it becomes critical to achieve robustness to real-world image transformations, such as geometric, photometric, and weather changes, even in the presence of an adversary. However, earlier work has focused on only a few transformations, such as image translation, rotation, or coloring. We close this gap by analyzing...