Unifying Gradients to Improve Real-world Robustness for Deep Networks

Yingwen Wu, Sizhe Chen, Kun Fang +1

The wide application of deep neural networks (DNNs) demands an increasing amount of attention to their real-world robustness, i.e., whether a DNN resists black-box adversarial atta…