Shi, Junyu

1. Challenges and Approaches for Mitigating Byzantine Attacks in Federated Learning
   2021/12/29 by Shi, Junyu, Wan, Wei, Hu, Shengshan +2 · 5 citations
   #Artificial Intelligence (cs.AI) #Cryptography and Security (cs.CR) #Distributed #FOS: Computer and information sciences #Parallel #and Cluster Computing (cs.DC)
2. Why Does Little Robustness Help? A Further Step Towards Understanding Adversarial Transferability
   2023/07/15 by Yechao Zhang, Zhang, Yechao, Shengshan Hu +13 · 2 citations
   Computer Science · #Adversarial Robustness in Machine Learning #Computer Vision and Pattern Recognition (cs.CV) #Cryptography and Security (cs.CR) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
3. Shielding Federated Learning: Mitigating Byzantine Attacks with Less Constraints
   2022/10/04 by Minghui Li, Wei Wan, Li, Minghui +11 · 1 citation
   Computer Science · #Adversarial Robustness in Machine Learning #Distributed #FOS: Computer and information sciences #Parallel #Privacy-Preserving Technologies in Data #and Cluster Computing (cs.DC)
4. Improving Generalization of Universal Adversarial Perturbation via Dynamic Maximin Optimization
   2025/03/17 by Yechao Zhang, Yingzhe Xu, Zhang, Yechao +11 · 1 citation
   Computer Science · #Adversarial Robustness in Machine Learning #Generative Adversarial Networks and Image Synthesis #Advanced Neural Network Applications