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English(EN) Same weights, only the system prompt changed: InjecAgent attack success went from 0.2% to 43%. An audit of 33,000 trajectories from eleven 2-14B open-weight age

InjecAgent攻击成功率因系统提示改变而飙升

作者 PulseAugur 编辑部 · [1 个来源] ·

对11个开源AI模型的33,000条轨迹进行的最新审计显示，仅改变系统提示就将InjecAgent攻击的成功率从0.2%大幅提高到43%。研究还发现，绝大多数注入失败的请求被忽略，只有一小部分被拒绝。此外，在超过20%的测试场景中，AI代理保持了“安全”但未能完成用户预期的任务，这凸显了安全措施与任务完成之间的脱节。 AI

影响 突显了AI代理安全协议中的关键漏洞以及系统提示对安全结果的重大影响。

排序理由 该集群包含一篇研究论文，详细介绍了AI代理安全和攻击向量的发现。[lever_c_demoted from research: ic=1 ai=1.0]

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InjecAgent攻击成功率因系统提示改变而飙升

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该集群包含一篇研究论文，详细介绍了AI代理安全和攻击向量的发现。[lever_c_demoted from research: ic=1 ai=1.0]
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safety, model release
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报道来源 [1]

  1. Mastodon — mastodon.social TIER_1 English(EN) · shellonline ·

    相同权重，仅改变系统提示：InjecAgent攻击成功率从0.2%升至43%。对11个2-14B开源模型33000条轨迹的审计

    Same weights, only the system prompt changed: InjecAgent attack success went from 0.2% to 43%. An audit of 33,000 trajectories from eleven 2-14B open-weight agents found 76-80% of failed injections were ignored, only 17-18% refused. In 21.7% of AgentDojo episodes the agent was "s…

    链接 arxiv.org/…/2610.23254

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