30 citations · 33 across the 3 of their papers we have counts for
3 papers
cs.CR2022★ 30 cited
PASS: A Parameter Audit-based Secure and Fair Federated Learning Scheme against Free-Rider Attack
Jianhua Wang, Xiaolin Chang, Jelena Mišić +2
Federated Learning (FL) as a secure distributed learning framework gains interests in Internet of Things (IoT) due to its capability of protecting the privacy of participant data.…
cs.LG2021★ 2 cited
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…
cs.LG2021★ 1 cited
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…