3 papers
cs.AI2026
Not All Turns Matter: Credit Assignment for Multi-Turn Jailbreaking
Zhida He, Xiaoyu Wen, Han Qi +7
Deploying LLMs in multi-turn dialogues facilitates jailbreak attacks that distribute harmful intent across seemingly benign turns. Recent training-based multi-turn jailbreak method…
cs.AI2025
SAJA: A State-Action Joint Attack Framework on Multi-Agent Deep Reinforcement Learning
Weiqi Guo, Guanjun Liu, Ziyuan Zhou
Multi-Agent Deep Reinforcement Learning (MADRL) has shown potential for cooperative and competitive tasks such as autonomous driving and strategic gaming. However, models trained b…
cs.LG2025
PNAct: Crafting Backdoor Attacks in Safe Reinforcement Learning
Weiran Guo, Guanjun Liu, Ziyuan Zhou +1
Reinforcement Learning (RL) is widely used in tasks where agents interact with an environment to maximize rewards. Building on this foundation, Safe Reinforcement Learning (Safe RL…