bethgelab/foolbox
View on GitHubA Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX
- Stars
- 3k
- Forks
- 442
- Open beginner issues
- 0
- Indexed issues
- 23
- Dominant language
- Python
- License
- MIT
- Last GitHub push
- Mar 4, 2024
- Latest indexed
- Sep 14, 2026
- Contributing guide
- No contributing guide
- Code of conduct
- No code of conduct
- Beginner labels
- help wanted
- PR merge metrics
- No merged PRs in 30d
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Difficulty 3/5 1-2 days Newbie friendliness 30/100
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Difficulty 3/5 1-2 days Newbie friendliness 25/100
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Difficulty 2/5 1-3 hours Newbie friendliness 30/100
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Difficulty 2/5 1-3 hours Newbie friendliness 35/100
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Difficulty 3/5 1-2 days Newbie friendliness 25/100
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Difficulty 4/5 3-5 days Newbie friendliness 35/100
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Difficulty 1/5 Under an hour Newbie friendliness 62/100
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Logit optimization Open
Difficulty 4/5 3-5 days Newbie friendliness 20/100
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question
Difficulty 5/5 Over a week Newbie friendliness 25/100
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question
Difficulty 3/5 1-2 days Newbie friendliness 25/100
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contributions welcome enhancement help wanted
Difficulty 5/5 Over a week Newbie friendliness 20/100
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enhancement waiting for reply
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feature request
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enhancement
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Difficulty 4/5 3-5 days Newbie friendliness 25/100
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Difficulty 3/5 1-2 days Newbie friendliness 35/100
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Difficulty 2/5 1-3 hours Newbie friendliness 20/100
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Difficulty 4/5 3-5 days Newbie friendliness 25/100
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Difficulty 5/5 Over a week Newbie friendliness 25/100
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Difficulty 4/5 3-5 days Newbie friendliness 28/100
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Difficulty 3/5 1-2 days Newbie friendliness 35/100
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contributions welcome
Difficulty 5/5 Over a week Newbie friendliness 20/100