This paper presents a new method for detecting adversarial attacks, based on an analysis of the robustness to Gaussian noise and the closeness to decision boundaries. Overall, a good paper addressing an important problem. The comparison to previous detection methods is reasonably extensive, while some discussion on the reverse cross-entropy learning-based method (https://papers.nips.cc/paper/7709-towards-robust-detection-of-adversarial-examples.pdf) would be valuable.