Download
Foolbox: Fast adversarial attacks to benchmark the robustness of machine learning models in PyTorch, TensorFlow, and JAX. Foolbox 3 is built on top of EagerPy and runs natively in PyTorch, TensorFlow, and JAX. Foolbox provides a large collection of state-of-the-art gradient-based and decision-based adversarial attacks. Catch bugs before running your code thanks to extensive type annotations in Foolbox. Foolbox is a Python library that lets you easily run adversarial attacks against machine learning models like deep neural networks. It is built on top of EagerPy and works natively with models in PyTorch, TensorFlow, and JAX.
Features
- Native Performance
- State-of-the-art attacks
- Documentation available
- Type Checking
- Foolbox 3 is built on top of EagerPy and runs natively in PyTorch, TensorFlow, and JAX and comes with real batch support
- Foolbox provides a large collection of state-of-the-art gradient-based and decision-based adversarial attacks
- Catch bugs before running your code thanks to extensive type annotations in Foolbox
Project Samples
Categories
Machine LearningLicense
MIT LicenseFollow Foolbox
Other Useful Business Software
AestheticsPro Medical Spa Software
AestheticsPro is the most complete Aesthetics Software on the market today. HIPAA Cloud Compliant with electronic charting, integrated POS, targeted marketing and results driven reporting; AestheticsPro delivers the tools you need to manage your medical spa business. It is our mission To Provide an All-in-One Cutting Edge Software to the Aesthetics Industry.
Rate This Project
Login To Rate This Project
User Reviews
Be the first to post a review of Foolbox!
