2019
Defense Against Adversarial Images Using Web-Scale Nearest-Neighbor Search
CVPR 2019oral
A plethora of recent work has shown that convolutional networks are not robust to adversarial images: images that are created by perturbing a sample from the data distribution as to maximize the loss on the perturbed example. In this work, we hypothesize that adversarial perturbations move the image…