1 citations · 2 across the 3 of their papers we have counts for
4 papers
Black-Box Red-Teaming of Multi-Agent Systems via Reinforcement Learning
Yuqi Jia, Hangsheng Zhang, Chenxi Liu +2
Large language model (LLM) agents are increasingly deployed in multi-agent systems (MAS) to accomplish complex tasks. Prior black-box red-teaming attacks mainly focus on single age…
CARE: Ensemble Adversarial Robustness Evaluation Against Adaptive Attackers for Security Applications
Hangsheng Zhang, Jiqiang Liu, Jinsong Dong
Ensemble defenses, are widely employed in various security-related applications to enhance model performance and robustness. The widespread adoption of these techniques also raises…
Explainable and Transferable Adversarial Attack for ML-Based Network Intrusion Detectors
Hangsheng Zhang, Dongqi Han, Yinlong Liu +5
espite being widely used in network intrusion detection systems (NIDSs), machine learning (ML) has proven to be highly vulnerable to adversarial attacks. White-box and black-box ad…
Deep Reinforcement Learning-based Task Offloading in Satellite-Terrestrial Edge Computing Networks
Dali Zhu, Haitao Liu, Ting Li +5
In remote regions (e.g., mountain and desert), cellular networks are usually sparsely deployed or unavailable. With the appearance of new applications (e.g., industrial automation…