adversarial-ml

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