Trusted-AI / adversarial-robustness-toolbox

Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams

Date Created 2018-03-15 (6 years ago)

Commits 12,226 (last one 25 days ago)

Stargazers 4,533 (10 this week)

Watchers 101 (0 this week)

Forks 1,128

License mit

Ranking

RepositoryStats indexes 523,840 repositories, of these Trusted-AI/adversarial-robustness-toolbox is ranked #9,739 (98th percentile) for total stargazers, and #17,535 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #1,413/100,813.

Trusted-AI/adversarial-robustness-toolbox is also tagged with popular topics, for these it's ranked: python (#708/20132), machine-learning (#359/7264), ai (#161/2983), artificial-intelligence (#88/1777), privacy (#60/941), red-team (#9/199), attack (#7/112)

Other Information

Trusted-AI/adversarial-robustness-toolbox has 28 open pull requests on Github, 1,116 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 123 open issues and 752 closed issues.

There have been 56 releases, the latest one was published on 2024-02-17 (3 months ago) with the name ART 1.17.1.

Homepage URL: https://adversarial-robustness-toolbox.readthedocs.io/en/latest/

All Topics

ai attack python evasion privacy red-team blue-team inference poisoning extraction trusted-ai trustworthy-ai machine-learning adversarial-attacks adversarial-examples artificial-intelligence adversarial-machine-learning

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Recent Commit History

2,808 commits on the default branch (main) since jan '22

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Languages

The primary language is Python but there's also others...

updated: 2024-05-31 @ 08:15pm, id: 125381318 / R_kgDOB3kqxg