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 12,510 (last one a day ago)

Stargazers 4,953 (8 this week)

Watchers 99 (0 this week)

Forks 1,172

License mit

Ranking

RepositoryStats indexes 595,890 repositories, of these Trusted-AI/adversarial-robustness-toolbox is ranked #9,543 (98th percentile) for total stargazers, and #18,277 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #1,460/119,419.

Trusted-AI/adversarial-robustness-toolbox is also tagged with popular topics, for these it's ranked: python (#707/22322), machine-learning (#359/8062), ai (#192/4074), artificial-intelligence (#93/2113), privacy (#58/1043), inference (#19/309), red-team (#9/227), attack (#7/130)

Other Information

Trusted-AI/adversarial-robustness-toolbox has 9 open pull requests on Github, 1,148 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 12 open issues and 880 closed issues.

There have been 60 releases, the latest one was published on 2024-12-20 (a day ago) with the name ART 1.19.0.

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

3,092 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: 2024-12-21 @ 03:37pm, id: 125381318 / R_kgDOB3kqxg