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English(EN) Capable but Careless: Do Computer-Use Agents Follow Contextual Integrity?

新基准揭示AI计算机使用代理存在高隐私风险

一个名为AgentCIBench的新基准已被开发出来,用于评估计算机使用代理(CUAs)的上下文完整性。这些代理在电子邮件和日历等个人应用程序中运行,可能将一个上下文的信息暴露给另一个上下文,从而带来隐私风险。AgentCIBench测试了三种常见的故障模式:视觉共址、任务歧义过度分享和收件人错位。在对15个前沿代理的评估中,观察到了显著的故障率,其中11个代理在超过50%的场景中泄露信息,平均泄露率为67.9%。 AI

影响 凸显了AI代理中存在的重大隐私漏洞,可能影响CUAs的未来开发和部署标准。

排序理由 该集群基于一篇介绍AI代理评估新基准的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CL 阅读 →

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新基准揭示AI计算机使用代理存在高隐私风险

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该集群基于一篇介绍AI代理评估新基准的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.CL TIER_1 English(EN) · Anmol Goel, Iryna Gurevych ·

    能力强但粗心:计算机使用代理是否遵循上下文完整性?

    arXiv:2606.23189v2 Announce Type: replace-cross Abstract: Computer-use agents (CUAs) now act on a user's behalf across personal applications such as email, calendars, and to-do lists. This cross-application access is useful, but it also creates a privacy risk that has been largel…