Counterfit is a command-line tool designed for adversarial testing of machine learning models to identify vulnerabilities. It automates attacks aligned with frameworks like MITRE's Adversarial ML Threat Matrix and integrates with libraries such as Adversarial Robustness Toolbox and TextAttack. The tool supports multiple attack types, including model evasion and inversion, across various platforms, enabling security teams to assess ML systems during development and production phases. Counterfit uses workflows familiar to security professionals, resembling tools like Metasploit, and is employed in AI red team operations to proactively scan for vulnerabilities.
