<?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>Deep-Learning on wellzhi</title><link>https://wellzhi.github.io/tags/deep-learning/</link><description>Recent content in Deep-Learning on wellzhi</description><generator>Hugo</generator><language>zh-cn</language><lastBuildDate>Wed, 19 Aug 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://wellzhi.github.io/tags/deep-learning/index.xml" rel="self" type="application/rss+xml"/><item><title>深度学习模型版权保护技术分类图谱</title><link>https://wellzhi.github.io/posts/read/2026-08-19_deep-learning-model-copyright-protection-taxonomy/</link><pubDate>Wed, 19 Aug 2026 00:00:00 +0000</pubDate><guid>https://wellzhi.github.io/posts/read/2026-08-19_deep-learning-model-copyright-protection-taxonomy/</guid><description>以七组分类图系统梳理深度学习模型版权保护的问题定义、所有权验证、主动防护、验证场景、威胁模型、评估指标与研究前沿。</description></item></channel></rss>