Counterfit

Counterfit

Counterfit is a command-line interface (CLI) tool designed to provide a generic automation layer for assessing the security of machine learning (ML) models. It integrates various existing adversarial frameworks into a single tool, allowing users to create their own assessments and tests.

Key Features:

• Multi-Platform Support: Compatible with Microsoft Azure, Linux, and Windows (via WSL).
• Adversarial Framework Integration: Combines multiple adversarial frameworks for comprehensive security assessments.
• Custom Attack Creation: Users can create and run their own attacks on ML models.
• Easy Installation: Simple setup process using Python virtual environments or Conda.
• Extensive Documentation: Detailed guides for installation, usage, and contribution.

Benefits:

• Enhanced Security: Helps identify vulnerabilities in ML models, improving their robustness against attacks.
• Flexibility: Users can tailor the tool to their specific needs by creating custom attacks.
• Community Support: Open-source project with contributions welcomed, fostering a collaborative environment for improvement.

Highlights:

• Supports various data types including text, tabular, and image data.
• Provides a range of pre-defined attacks for different target types.
• Actively maintained with regular updates and community engagement.