Shypd.aiThe largest open index of AI toolsFoolbox is a Python toolbox for creating adversarial examples that fool neural networks. It supports PyTorch, TensorFlow, and JAX, enabling researchers to benchmark machine learning model robustness.
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Foolbox is a Python library designed to facilitate the creation of adversarial examples that can fool neural networks. Built on EagerPy, it offers native performance across PyTorch, TensorFlow, and JAX, allowing for a unified codebase without duplication. The toolbox provides a comprehensive collection of state-of-the-art gradient-based and decision-based adversarial attacks. It emphasizes type checking to catch bugs early and includes extensive documentation, guides, and tutorials for ease of use. Foolbox is ideal for machine learning researchers and security engineers focused on evaluating and improving the robustness of their models against adversarial attacks.
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