Learning More Robust Features with Adversarial Training

Shuangtao Li, Yuanke Chen, Yanlin Peng +1

In recent years, it has been found that neural networks can be easily fooled by adversarial examples, which is a potential safety hazard in some safety-critical applications. Many…