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    <title>大模型应用 on Ming Blog</title>
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      <title>开源大模型推理软件的攻击面分析：云上LLM数据泄露风险研究系列（四）</title>
      <link>https://puming.zone/post/2025-06-09-%E5%BC%80%E6%BA%90%E5%A4%A7%E6%A8%A1%E5%9E%8B%E6%8E%A8%E7%90%86%E8%BD%AF%E4%BB%B6%E7%9A%84%E6%94%BB%E5%87%BB%E9%9D%A2%E5%88%86%E6%9E%90%E4%BA%91%E4%B8%8Allm%E6%95%B0%E6%8D%AE%E6%B3%84%E9%9C%B2%E9%A3%8E%E9%99%A9%E7%A0%94%E7%A9%B6%E7%B3%BB%E5%88%97%E5%9B%9B/</link>
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      <title>LLM数据泄露风险研究系列（三）：基于LLM应用的攻击面分析</title>
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      <description>一. 概述 本系列前两篇文章深入探讨了向量数据库和LLMOps在全球的暴露面及攻击面，本文作为第三篇，将重点关注当前主流大模型应用的安全风险。如</description>
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