Capture The Flag competitions now include artificial intelligence and machine learning puzzles. You need special techniques to attack ML models and solve AI-related challenges. This reference covers methods like adversarial examples, model extraction, and prompt injection.
You can learn how to craft adversarial inputs that fool classifiers. You can extract private training data from a model. You can even jailbreak large language models to reveal hidden information.
All commands are simple bash and Python one-liners. They work on common ML models like PyTorch and HuggingFace. Use this guide to gain an edge in AI security competitions.
Global
mkdir -p ~/.claude/skills/ctf-ai-mlProject
mkdir -p .claude/skills/ctf-ai-mlSource Repository
Explore Runlllllllama/rigorpilot-skills
Plan and rank quick deep learning exploration runs with clear boundaries
Run Trainlllllllama/rigorpilot-skills
Run deep learning training conservatively with structured logs and metrics
Env And Assets Bootstraplllllllama/rigorpilot-skills
Safe and careful setup of conda environments and asset paths for deep learning reproduction
Env And Assets Bootstraplllllllama/ai-paper-reproduction-skill
Prepare conda-first environment and asset paths for deep learning reproduction
Data Visualizationanthropics/knowledge-work-plugins
Pick the right chart, write clean Python code, and design for everyone
Powerbi Modelinggithub/awesome-copilot
Expert guidance for building optimized Power BI semantic models with star schemas and DAX
Power Bi Dax Optimizationgithub/awesome-copilot
Make your Power BI DAX formulas faster and easier to maintain
Bigquery Basicsgoogle/skills
Easily analyze massive datasets with SQL and built-in machine learning