Futai Zou

Generating Adversarial Samples With Constrained Wasserstein Distance

2019 · IEEE Access

In recent years, deep neural network (DNN) approaches prove to be useful in many machine learning tasks, including classification. However, small perturbations that are carefully crafted by attackers can lead to the misclassification of the …