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研究发现:一句话让AI大模型泄露对话敏感信息

11月8日,加州大学圣地亚哥分校和新加坡南洋理工大学的研究人员开发了一种名为“Imprompter”的算法,能够将恶意提示词转换为隐藏指令,诱使大模型在对话中收集用户的敏感信息并发送给攻击者。研究人员在法国Mistral AI的LeChat和中国智谱的ChatGLM上测试了该方法,成功率达80%。此类攻击提升了大模型攻击的自动化水平,让用户在不知情的情况下泄露个人数据。

Imprompter利用提示词注入,让大模型以隐蔽的方式提取信息并将其发送至攻击者控制的URL。Mistral AI已修复漏洞,而ChatGLM强调了安全重视。专家建议,企业需加强AI安全测试,用户也应谨慎分享个人信息。



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研究发现:一句话让AI大模型泄露对话敏感信息

11月8日,加州大学圣地亚哥分校和新加坡南洋理工大学的研究人员开发了一种名为“Imprompter”的算法,能够将恶意提示词转换为隐藏指令,诱使大模型在对话中收集用户的敏感信息并发送给攻击者。研究人员在法国Mistral AI的LeChat和中国智谱的ChatGLM上测试了该方法,成功率达80%。此类攻击提升了大模型攻击的自动化水平,让用户在不知情的情况下泄露个人数据。

Imprompter利用提示词注入,让大模型以隐蔽的方式提取信息并将其发送至攻击者控制的URL。Mistral AI已修复漏洞,而ChatGLM强调了安全重视。专家建议,企业需加强AI安全测试,用户也应谨慎分享个人信息。

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