privacytrustlab / ml_privacy_meter

Privacy Meter: An open-source library to audit data privacy in statistical and machine learning algorithms.

Date Created 2020-04-08 (4 years ago)

Commits 481 (last one about a month ago)

Stargazers 587 (3 this week)

Watchers 19 (0 this week)

Forks 100

License mit

Ranking

RepositoryStats indexes 565,279 repositories, of these privacytrustlab/ml_privacy_meter is ranked #78,581 (86th percentile) for total stargazers, and #115,352 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #1,631/16,285.

privacytrustlab/ml_privacy_meter is also tagged with popular topics, for these it's ranked: machine-learning (#1,809/7698), privacy (#281/999), inference (#76/287), explainable-ai (#28/163)

Other Information

privacytrustlab/ml_privacy_meter has 5 open pull requests on Github, 51 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 9 open issues and 30 closed issues.

All Topics

gdpr privacy inference data-privacy privacy-audit explainable-ai data-protection machine-learning information-leakage membership-inference-attack data-protection-impact-assessment

Star History

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Watcher History

Github watchers over time, collection started in '23

Recent Commit History

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

Yearly Commits

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Issue History

Languages

The primary language is Jupyter Notebook but there's also others...

updated: 2024-09-28 @ 02:30pm, id: 254225420 / R_kgDODycsDA