ian-goodfellow
OfficialThink adversarially to build robust ML
Software Engineering#robustness#bias-mitigation#ai-security#adversarial-ml#gan#ian-goodfellow#machine-learning-triad
AuthorK-Dense-AI
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill helps engineers and researchers apply Ian Goodfellow's adversarial lens to ML design, guiding thinking toward worst-case robustness, bias mitigation, and guardrail evaluation.
Core Features & Use Cases
- Applies a minimax game framing to model design and evaluation.
- Guides bias mitigation, fairness checks, and guardrail assessment in AI systems.
- Assists in evaluating and defending generative models against adversarial inputs.
Quick Start
Frame an ML decision as a minimax game, identify potential adversaries, and select robustness and fairness interventions to test.
Dependency Matrix
Required Modules
None requiredComponents
references
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: ian-goodfellow Download link: https://github.com/K-Dense-AI/mimeographs/archive/main.zip#ian-goodfellow Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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