Adversarial Robustness Toolbox (ART) is a Python library for Machine Learning Security. ART provides tools that enable developers and researchers to evaluate, defend, certify and verify Machine Learning models and applications against the adversarial threats of Evasion, Poisoning, Extraction, and Inference. ART supports all popular machine learning frameworks (TensorFlow, Keras, PyTorch, MXNet, sci-kit-learn, XGBoost, LightGBM, CatBoost, GPy, etc.), all data types (images, tables, audio, video, etc.) and machine learning tasks (classification, object detection, generation, certification, etc.).
Features
- Adversarial Threats
- ART for Red and Blue Teams (selection)
- The library is under continuous development
- Documentation available
- Examples available
License
MIT LicenseFollow Adversarial Robustness Toolbox
Other Useful Business Software
Try Google Cloud Risk-Free With $300 in Credit
Use your credit across every product. Compute, storage, AI, analytics. When it runs out, 20+ products stay free. You only pay when you choose to.
Rate This Project
Login To Rate This Project
User Reviews
Be the first to post a review of Adversarial Robustness Toolbox!