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English(EN) Eyes-on-Me: Scalable RAG Poisoning through Transferable Attention-Steering Attractors

新的“Eyes-on-Me”方法实现了可扩展的RAG系统投毒

研究人员开发了一种名为“Eyes-on-Me”的新方法,可以更有效地投毒检索增强生成(RAG)系统。该技术将对抗性文档分解为可重用的“注意力吸引子”和“焦点区域”,使攻击者能够以最小的成本适应新目标。该方法显著提高了各种RAG配置下的攻击成功率,并展示了可扩展RAG数据投毒的潜力。 AI

影响 引入了对RAG系统的可扩展威胁,突出了注意力机制的漏洞以及改进防御的必要性。

排序理由 详细介绍RAG系统投毒新方法的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CL 阅读 →

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新的“Eyes-on-Me”方法实现了可扩展的RAG系统投毒

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详细介绍RAG系统投毒新方法的学术论文。[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) · Yen-Shan Chen, Sian-Yao Huang, Cheng-Lin Yang, Yun-Nung Chen ·

    Eyes-on-Me:通过可转移的注意力引导吸引子实现可扩展的RAG投毒

    arXiv:2510.00586v3 Announce Type: replace-cross Abstract: Existing data poisoning attacks on retrieval-augmented generation (RAG) systems scale poorly because they require costly optimization of poisoned documents for each target phrase. We introduce Eyes-on-Me, a modular attack …