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 510 (last one about a month ago)

Stargazers 615 (0 this week)

Watchers 19 (0 this week)

Forks 103

License mit

Ranking

RepositoryStats indexes 595,856 repositories, of these privacytrustlab/ml_privacy_meter is ranked #78,223 (87th percentile) for total stargazers, and #117,069 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #12,632/119,431.

privacytrustlab/ml_privacy_meter is also tagged with popular topics, for these it's ranked: machine-learning (#1,807/8063), privacy (#281/1043), inference (#79/309), explainable-ai (#28/171)

Other Information

privacytrustlab/ml_privacy_meter has 4 open pull requests on Github, 59 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there is 1 open issue and 39 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

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

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Languages

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

updated: 2024-12-20 @ 06:05am, id: 254225420 / R_kgDODycsDA