adversarial-machine-learning
Installation
SKILL.md
Adversarial Machine Learning
Scope
Use this skill when working on:
- Adversarial examples (perturbations that fool models)
- Data poisoning attacks
- Model backdoors and trojans
- Evasion attacks
- Membership inference and model inversion
Attack Taxonomy
Related skills
More from gmh5225/awesome-ai-security
ai-powered-pentesting
Guide for AI-powered penetration testing tools, red teaming frameworks, and autonomous security agents.
52llm-attacks-security
Guide for LLM security attacks: prompt injection, jailbreaking, data extraction, and where to place resources in README.md.
36ai-security-tooling
Guide for AI security tooling (detectors, analyzers, guardrails, benchmarks) and consistent placement in README.md.
22awesome-ai-security-overview
Guide for understanding and contributing to the awesome-ai-security curated resource list. Use this skill when adding resources, organizing categories, or maintaining README.md consistency (no duplicates).
21