advboxes / AdvBox

Advbox is a toolbox to generate adversarial examples that fool neural networks in PaddlePaddle、PyTorch、Caffe2、MxNet、Keras、TensorFlow and Advbox can benchmark the robustness of machine learning models. Advbox give a command line tool to generate adversarial examples with Zero-Coding.

Date Created 2018-08-08 (5 years ago)

Commits 378 (last one about a year ago)

Stargazers 1,374 (0 this week)

Watchers 56 (0 this week)

Forks 262

License apache-2.0

Ranking

RepositoryStats indexes 534,669 repositories, of these advboxes/AdvBox is ranked #35,952 (93rd percentile) for total stargazers, and #35,873 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #727/14,931.

advboxes/AdvBox is also tagged with popular topics, for these it's ranked: deep-learning (#976/7828), machine-learning (#1,006/7373), security (#602/3753)

Other Information

advboxes/AdvBox has 8 open pull requests on Github, 26 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 7 open issues and 31 closed issues.

All Topics

fgsm onnx deepfool security graphpipe paddlepaddle deep-learning machine-learning adversarial-attacks adversarial-example adversarial-examples

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

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updated: 2024-06-24 @ 09:42pm, id: 143987419 / R_kgDOCJUS2w