12 citations · 40 across the 12 of their papers we have counts for
3 papers · 1 filter
IWA: Integrated Gradient based White-box Attacks for Fooling Deep Neural Networks
Yixiang Wang, Jiqiang Liu, Xiaolin Chang +2
The widespread application of deep neural network (DNN) techniques is being challenged by adversarial examples, the legitimate input added with imperceptible and well-designed pert…
Generalizing Adversarial Examples by AdaBelief Optimizer
Yixiang Wang, Jiqiang Liu, Xiaolin Chang
Recent research has proved that deep neural networks (DNNs) are vulnerable to adversarial examples, the legitimate input added with imperceptible and well-designed perturbations ca…
Gradient Band-based Adversarial Training for Generalized Attack Immunity of A3C Path Finding
Tong Chen, Wenjia Niu, Yingxiao Xiang +4
As adversarial attacks pose a serious threat to the security of AI system in practice, such attacks have been extensively studied in the context of computer vision applications. Ho…