Computer Science - Neural and Evolutionary Computing

What it Thinks is Important is Important: Robustness Transfers through Input Gradients

TL;DR: By regularizing for similar input gradients, we can transfer adversarial robustness from a teacher to a student classifier even with different training dataset and model architecture. Abstract: Adversarial perturbations are imperceptible …