foolbox
A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX
Create examples that trick AI models into making mistakes, helping to test their reliability.
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Free · no card · unsubscribe anytimeA Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX
foolbox has 3k stars on GitHub. It has been forked 439 times. foolbox is written mainly in Python. It has been in active development since 2017. foolbox is available under the MIT license. Its main topics are adversarial-attacks, adversarial-examples, jax, keras.
What is foolbox?
A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX
Is foolbox open source?
foolbox is an open-source project. It is released under the MIT license.
Is foolbox free?
Yes. foolbox is free and open source — you can use, modify and self-host it.
What license does foolbox use?
foolbox is available under the MIT license.
What language is foolbox written in?
foolbox is written mainly in Python.
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