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Title: GitHub - datasciencee/foolbox: A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX · GitHub

Open Graph Title: GitHub - datasciencee/foolbox: A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX

X Title: GitHub - datasciencee/foolbox: A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX

Description: A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX - datasciencee/foolbox

Open Graph Description: A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX - datasciencee/foolbox

X Description: A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX - datasciencee/foolbox

Opengraph URL: https://github.com/datasciencee/foolbox

X: @github

direct link

Domain: github.com

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	https://foolbox.jonasrauber.de
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	https://doi.org/10.21105/joss.02607
	https://github.com/datasciencee/foolbox#foolbox-fast-adversarial-attacks-to-benchmark-the-robustness-of-machine-learning-models-in-pytorch-tensorflow-and-jax
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	https://github.com/datasciencee/foolbox#-citation
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	https://github.com/datasciencee/foolbox#-contributions
development guidelines	https://foolbox.jonasrauber.de/guide/development.html
new adversarial attacks	https://foolbox.jonasrauber.de/guide/adding_attacks.html
contributions welcome	https://github.com/bethgelab/foolbox/issues?q=is%3Aopen+is%3Aissue+label%3A%22contributions+welcome%22
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