bethgelab / foolbox

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

Date Created 2017-06-14 (7 years ago)

Commits 1,711 (last one 8 months ago)

Stargazers 2,764 (5 this week)

Watchers 46 (0 this week)

Forks 427

License mit

Ranking

RepositoryStats indexes 579,238 repositories, of these bethgelab/foolbox is ranked #18,134 (97th percentile) for total stargazers, and #45,670 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #2,789/115,001.

bethgelab/foolbox is also tagged with popular topics, for these it's ranked: python (#1,205/21862), machine-learning (#591/7866), pytorch (#337/5908), tensorflow (#193/2233), keras (#55/786)

Other Information

bethgelab/foolbox has 6 open pull requests on Github, 318 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 21 open issues and 350 closed issues.

There have been 59 releases, the latest one was published on 2024-03-04 (8 months ago) with the name Version 3.3.4.

Homepage URL: https://foolbox.jonasrauber.de

All Topics

jax keras python pytorch tensorflow machine-learning adversarial-attacks adversarial-examples

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61 commits on the default branch (master) since jan '22

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updated: 2024-11-07 @ 08:02am, id: 94331757 / R_kgDOBZ9jbQ