4 citations · 10 across the 15 of their papers we have counts for
5 papers · 1 filter
Refiner: Data Refining against Gradient Leakage Attacks in Federated Learning
Mingyuan Fan, Cen Chen, Chengyu Wang +2
Recent works have brought attention to the vulnerability of Federated Learning (FL) systems to gradient leakage attacks. Such attacks exploit clients' uploaded gradients to reconst…
Defense against Backdoor Attacks via Identifying and Purifying Bad Neurons
Mingyuan Fan, Yang Liu, Cen Chen +2
The opacity of neural networks leads their vulnerability to backdoor attacks, where hidden attention of infected neurons is triggered to override normal predictions to the attacker…
Transferable Adversarial Examples with Bayes Approach
Mingyuan Fan, Cen Chen, Wenmeng Zhou +1
The vulnerability of deep neural networks (DNNs) to black-box adversarial attacks is one of the most heated topics in trustworthy AI. In such attacks, the attackers operate without…
Case-Aware Adversarial Training
Mingyuan Fan, Yang Liu, Cen Chen
The neural network (NN) becomes one of the most heated type of models in various signal processing applications. However, NNs are extremely vulnerable to adversarial examples (AEs)…
Enhance transferability of adversarial examples with model architecture
Mingyuan Fan, Wenzhong Guo, Shengxing Yu +2
Transferability of adversarial examples is of critical importance to launch black-box adversarial attacks, where attackers are only allowed to access the output of the target model…