2017
Houdini: Fooling Deep Structured Visual and Speech Recognition Models with Adversarial Examples
NeurIPS 2017poster
Generating adversarial examples is a critical step for evaluating and improving the robustness of learning machines. So far, most existing methods only work for classification and are not designed to alter the true performance measure of the problem at hand. We introduce a novel flexible approach na…