新型攻击可从多模态AI系统中提取数据

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-02 04:00

研究人员开发了一种名为“immrag”的新方法，用于从多模态检索增强生成（MRAG）系统中提取数据。该技术在黑盒设置下运行，并将恶意指令嵌入输入图像而非文本提示中来探测系统。实验表明，immrag可以从各种场景中重建大量图像，凸显了多模态AI增强安全措施的必要性。 AI

影响凸显了多模态AI系统潜在的漏洞，需要开发新的安全措施。

排序理由学术论文，详细介绍了从多模态AI系统中提取数据的新方法。[lever_c_demoted from research: ic=1 ai=1.0]

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

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Newsworthiness bucket: Tool; 学术论文，详细介绍了从多模态AI系统中提取数据的新方法。[lever_c_demoted from research: ic=1 ai=1.0]
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arXiv cs.AI TIER_1 English(EN) · Maria Carmen Jica, Ali Satvaty, Suzan Verberne, Fatih Turkmen · 2026-10-02 04:00

漫步嵌入空间：从多模态RAG中提取数据存储

arXiv:2610.01871v1 Announce Type: cross Abstract: Multimodal Retrieval-Augmented Generation (MRAG) has emerged as a reliable and cost-effective technique of grounding the generative capabilities of Multimodal Large Language Models (MLLMs) into relevant, up-to-date, external knowl…