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FATS: A Prompt Injection Attack Utilizing Feign Security Agents with Deceptive Few-shots Learning

Ren, Yupeng et al.
arXiv (All) · Papers
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cryptography-and-security
Large Language Models (LLMs) face significant security risks despite their advanced capabilities. While techniques like Reinforcement Learning with Human Feedback (RLHF) improve ethical alignment, excessive exposure to security-related training data may cause LLMs to overtrust such information, crea
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