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adversarial-ml

Adversarial machine learning, robustness, and security in ML

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来源信息

仓库
NeuralBlitz/Mito
最近来源活动
2026年3月22日 13:29
检测到的 SKILL.md 语言
英语
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安装方式

默认使用会先检查来源的 Prompt;你也可以切换为直接命令,或下载本地副本。

检查来源文件

决定是否安装前,请先阅读 SKILL.md,以及 SkillsMP 当前展示的配套文件。

正在显示 SKILL.md

SKILL.md
来源说明 · 只读预览
name
adversarial-ml
description
Adversarial machine learning, robustness, and security in ML
license
MIT
compatibility
opencode
metadata
{"audience":"researchers","category":"machine-learning"}
## What I do - Understand adversarial attacks - Build robust models - Test model security - Apply adversarial training ## When to use me When building secure or robust ML systems. ## Key Concepts - Adversarial examples - FGSM, PGD attacks - Adversarial training - Defensive methods - Certified robustness - Model extraction - Backdoor attacks
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