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A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX
PyTorch, TensorFlow, JAX and NumPy — all of them natively using the same code
My personal reference management system for arXiv papers using Bear.app
Foolbox Native brings native performance to Foolbox
A powerful white-box adversarial attack that exploits knowledge about the geometry of neural networks to find minimal adversarial perturbations without doing gradient descent
Analysis by Synthesis — reimplemented
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