AGENT SKILL
adversarial-ml
Adversarial machine learning, robustness, and security in ML
- License 许可
- MIT
- 所属仓库
- NeuralBlitz/Mito
- 最近更新
- 2026-11-12
- Stars
- ★ 0
- Forks
- 0
01 前言 Front Matter
- name
- adversarial-ml
- license
- MIT
- metadata
- { "audience": "researchers", "category": "machine-learning" }
- description
- Adversarial machine learning, robustness, and security in ML
- compatibility
- opencode
03 SKILL.md 正文
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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