Source facts
- Repository
- NeuralBlitz/Mito
- Last source activity
- March 22, 2026 at 13:29
- Detected SKILL.md language
- English
- Stars
- 0
- Forks
- 0
Install options
The review-first prompt is selected by default. You can switch to a direct command or download a local copy.
Review the source files
Read SKILL.md and any companion files shown by SkillsMP before deciding whether to install.
Showing SKILL.md
SKILL.md
Source instructions · Read-only preview- 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
View on GitHub