
Large Language Models (LLMs) are powerful tools for various applications due to their knowledge and understanding capabilities. However, they are also vulnerable to exploitation, especially in jailbreaking attacks in multi-round dialogues. Jailbreaking attacks exploit the complex and sequential nature of human-LLM interactions to subtly manipulate the model’s responses over multiple exchanges. By carefully building questions […]
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