Zhishuai Zhang

Mitigating Adversarial Effects Through Randomization

2017 · arXiv (Cornell University)

Convolutional neural networks have demonstrated high accuracy on various tasks in recent years. However, they are extremely vulnerable to adversarial examples. For example, imperceptible perturbations added to clean images can cause convolutional neural networks to …