Mukund Mundhra

Stereopagnosia: Fooling Stereo Networks with Adversarial Perturbations

We study the effect of adversarial perturbations of images on the estimates of disparity by deep learning models trained for stereo. We show that imperceptible additive perturbations can significantly alter the disparity map, and correspondingly the perceived geometry of the scene. These perturbatio…