Xi Wu

Reinforcing Adversarial Robustness using Model Confidence Induced by Adversarial Training

2017 · arXiv (Cornell University)

In this paper we study leveraging confidence information induced by adversarial training to reinforce adversarial robustness of a given adversarially trained model. A natural measure of confidence is $\|F({\bf x})\|_\infty$ (i.e. how confident $F$ is …

Fast Local Attack: Generating Local Adversarial Examples for Object Detectors

2020 · arXiv (Cornell University)

The deep neural network is vulnerable to adversarial examples. Adding imperceptible adversarial perturbations to images is enough to make them fail. Most existing research focuses on attacking image classifiers or anchor-based object detectors, but they …