F
foolbox
bethgelab/foolbox
A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX
★3.0kstars
Python
MIT
Updated: 4d ago
📋 Project at a Glance
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What's this?A , built with Python open-source project in the Security & Governance category, core strengths: adversarial-attacks/adversarial-examples
Who made it?Maintained by bethgelab team, 3K⭐ on GitHub, #81 out of 413 in Security & Governance
Why does it exist?The bethgelab team recognized that existing adversarial-attacks tools in Security & Governance were hard to use. foolbox was designed to make adversarial-examples more accessible.
What can it do?Key use cases: jax, keras, machine-learning
How to install with AI?Use an AI coding assistant (Claude Code, Cursor, Copilot) to automatically set up pip dependencies and virtual env. Follow the README — the AI handles the rest.
🔗 github.com/bethgelab/foolbox | 官网 https://foolbox.jonasrauber.de
🔗 github.com/bethgelab/foolbox | 官网 https://foolbox.jonasrauber.de
Topics
adversarial-attacksadversarial-examplesjaxkerasmachine-learningpythonpytorchtensorflow