Foolbox is a Python toolbox to create adversarial examples that fool neural networks. Foolbox 3.0 a.k.a. Foolbox Native has been completely rewritten from scratch. It is now built on top of EagerPy and comes with native support for these frameworks:
Foolbox comes with a large collection of adversarial attacks <modules/attacks>, both gradient-based white-box attacks as well as decision-based and score-based black-box attacks.
The source code and a minimal working example can be found on GitHub.
modules/models modules/attacks modules/criteria modules/distances modules/utils modules/plot modules/zoo
modules/devutils modules/tensorboard modules/types
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