23 citations · 23 across the 2 of their papers we have counts for
3 papers · 1 filter
Rethinking the Transferable Adversarial Attacks and Robust Defense in Federated Learning
Zuobin Xiong, Deval Mukherjee, Homook Cho +1
The development of federated learning (FL) techniques has helped improve the privacy preservation of users' data and extended the applications of machine learning models. However,…
ER-MIA: Black-Box Adversarial Memory Injection Attacks on Long-Term Memory-Augmented Large Language Models
Mitchell Piehl, Zhaohan Xi, Zuobin Xiong +2
Large language models (LLMs) are increasingly augmented with long-term memory systems to overcome finite context windows and enable persistent reasoning across interactions. Howeve…
Generative Adversarial Networks: A Survey Towards Private and Secure Applications
Zhipeng Cai, Zuobin Xiong, Honghui Xu +3
Generative Adversarial Networks (GAN) have promoted a variety of applications in computer vision, natural language processing, etc. due to its generative model's compelling ability…