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English(EN) MNC: Scope-Bound Semantic Declassification for Private LLM-Agent Communication

新协议增强LLM-Agent通信隐私

研究人员开发了最小必要通信(MNC)协议,旨在增强多智能体大型语言模型(LLM)系统的隐私性。MNC解决了LLM即使在外部输出看似无害的情况下,也可能通过内部消息和数据泄露敏感信息的问题。该协议允许信息以任务充分的披露方式进行,并受限于接收者、目的、转发和生命周期的显式范围,同时参考监视器强制执行这些边界。实验表明,即使经过中介的披露通过后续的智能体操作传播,MNC也能在防止未经授权的转发、记录或存储的同时,维护授权通信。 AI

影响 该协议可以实现更安全的复杂LLM-Agent系统内部私有通信。

排序理由 该集群描述了一篇研究论文中详细介绍的新协议。[lever_c_demoted from research: ic=1 ai=1.0]

在 Hugging Face Daily Papers 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

新协议增强LLM-Agent通信隐私

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该集群描述了一篇研究论文中详细介绍的新协议。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. Hugging Face Daily Papers TIER_1 English(EN) ·

    MNC:私有LLM-Agent通信的范围限定语义解密

    Multi-agent large language model (LLM) systems can expose protected state through internal messages, tool arguments, logs, and persistent memory even when their public outputs appear innocuous. Existing privacy prompts, redaction methods, and source-level access controls restrict…