Warren He

Generating Adversarial Examples with Adversarial Networks

2018 · arXiv (Cornell University)

Deep neural networks (DNNs) have been found to be vulnerable to adversarial examples resulting from adding small-magnitude perturbations to inputs. Such adversarial examples can mislead DNNs to produce adversary-selected results. Different attack strategies have been …