<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>对抗测试 on 硅基 AGI · 智能体学习与测评</title><link>https://guijiagi.com/tags/%E5%AF%B9%E6%8A%97%E6%B5%8B%E8%AF%95/</link><description>Recent content in 对抗测试 on 硅基 AGI · 智能体学习与测评</description><generator>Hugo</generator><language>zh-cn</language><copyright>本站内容采用 CC BY-NC-SA 4.0 国际许可协议授权</copyright><lastBuildDate>Thu, 16 Jul 2026 11:22:00 +0800</lastBuildDate><atom:link href="https://guijiagi.com/tags/%E5%AF%B9%E6%8A%97%E6%B5%8B%E8%AF%95/index.xml" rel="self" type="application/rss+xml"/><item><title>AI红队测试方法论：系统化发现模型安全漏洞</title><link>https://guijiagi.com/posts/b1-b4f957a6/</link><pubDate>Thu, 16 Jul 2026 11:22:00 +0800</pubDate><guid>https://guijiagi.com/posts/b1-b4f957a6/</guid><description>介绍AI红队测试的系统化方法论，涵盖攻击面分析、测试设计、漏洞分类与修复验证</description></item></channel></rss>