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PLAGUE dissects the lifetime of a multi-turn attack into three carefully designed phases (Primer, Planner and Finisher) that enable a systematic and information-rich exploratio","title":"PLAGUE: Plug-and-play framework for Lifelong Adaptive Generation of Multi-turn Exploits","url":"https://arxiv.org/abs/2510.17947","vendor":"arxiv_cs_ai"},"summary":"arXiv:2510.17947v3 Announce Type: replace-cross \nAbstract: Large Language Models (LLMs) are improving at an exceptional rate. With the advent of agentic workflows, multi-turn dialogue has become the de facto mode of interaction with LLMs for completing long and complex tasks. While LLM capabilities continue to improve, they remain increasingly susceptible to jailbreaking, especially in multi-turn scenarios where harmful intent can be subtly injected across the conversation to produce nefarious outcomes. 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