Repository · GitHub

bethgelab/foolbox

A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX

Owner	bethgelab
License (as declared)	MIT
Stars	2,983
Forks	441
Main language	Python
Created	14 June 2017
Last updated at source	3 December 2025

pythonadversarial-attacksadversarial-examplesjaxkerasmachine-learningpytorchtensorflow

Embed this entry

<iframe src="https://silytics.si/embed/item/ff906d2c-1c4c-4741-8535-675ab0c00051" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Silytics shows public metadata from GitHub and links to the original. Information may be incomplete or out of date. Last refreshed 15 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.