AI Security L1 Project

Overview

This project focuses on developing advanced models for AI security, with a particular emphasis on generative AI, bias mitigation, adversarial attack detection, and privacy-preserving AI security. The project utilizes various datasets and implements multiple machine learning models to address different aspects of AI security.

Project Structure

• data/: Contains datasets and related data files
• models/: Includes all model implementations and training scripts
• documentation/: Contains project documentation and analysis results

Setup Instructions

1. Clone the repository:

   git clone [repository_url]
   cd AI-Security-l1
   

2. Install required dependencies:

   pip install -r requirements.txt
   

Usage Guidelines

• To train and evaluate all models:

  python models/train_and_evaluate_all_models.py
  

• For data analysis:

  python documentation/data_analysis/preprocess_and_analyze.py
  

How to Contribute

1. Fork the repository
2. Create a new branch for your feature
3. Make your changes and commit them
4. Push to your fork and submit a pull request

License

[Include license information here]

For more detailed information about the models and datasets, please refer to the documentation/ directory.