ChatBug: Tricking AI Models into Harmful Responses

A recent research paper from the University of Washington and the Allen Institute for AI has highlighted a critical vulnerability in Large Language Models (LLMs), including GPT, Llama, and Claude. The study reveals that chat templates used in instruction tuning can be exploited through attacks like format mismatch and message overflow, leading the models to produce harmful responses. This vulnerability, named ChatBug, was tested on several state-of-the-art LLMs, revealing high susceptibility and a need for improved safety measures.

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