K-Nearest Neighbor (kNN)-based deep learning methods have been applied to many applications due their simplicity and geometric interpretability. However, the robustness of kNN-based classification models has not thoroughly explored kNN attack strategies are underdeveloped. In this paper, we first propose an Adversarial Soft (ASK) loss for developing more effective neural network designing bette...