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English(EN) Prompt injection attack on AI agents jumps to 28% success SIR, a self-improving prompt injection attack, raised its success rate from 0% to 28% on Gemini 3.5 Fl

AI代理易受自学习提示注入攻击影响

一种名为SIR的自学习提示注入攻击,在针对AI代理时展示了其成功率的显著提升。SIR最初成功率为0%,在针对Google的Gemini 3.5 Pro时,其成功率攀升至28%。这一进展凸显了AI系统日益增长的漏洞,可能被利用来操纵其行为。 AI

影响 凸显了AI代理的一个关键漏洞,可能影响AI系统的安全性和可靠性。

排序理由 研究论文详细介绍了新的提示注入攻击方法及其针对特定AI模型的成功率。[lever_c_demoted from research: ic=1 ai=1.0]

在 Mastodon — sigmoid.social 阅读 →

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

AI代理易受自学习提示注入攻击影响

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研究论文详细介绍了新的提示注入攻击方法及其针对特定AI模型的成功率。[lever_c_demoted from research: ic=1 ai=1.0]
Source corroboration
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Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
safety, product
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
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High
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Breaking (< 6h)
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报道来源 [1]

  1. Mastodon — sigmoid.social TIER_1 English(EN) · [email protected] ·

    AI代理的提示注入攻击成功率升至28% SIR,一种自学习的提示注入攻击,将其成功率从0%提升至Gemini 3.5 Fl的28%

    Prompt injection attack on AI agents jumps to 28% success SIR, a self-improving prompt injection attack, raised its success rate from 0% to 28% on Gemini 3.5 Flash while the agent's legitimate task still https://www. notatechguy.com/prompt-injecti on-attack-on-ai-agents-jumps-to-…