
ml_privacy_meter
by privacytrustlab (organization)
Privacy Meter: An open-source library to audit data privacy in statistical and machine learning algorithms. (description from the project’s GitHub page)
Repository facts
- Stars
- 728
- Forks
- 153
- Open issues and pull requests
- 11
- Primary language
- Jupyter Notebook
- License
- MIT License (MIT)
- Owner
- privacytrustlab · Organization
- Created
- Apr 8, 2020
- Last push
- Apr 26, 2025
Topics
Related projects
Projects that share this one’s GitHub topics.
Rank 7,280: sgasser/pasteguard
AI gets the context. Not your private data. Local-first privacy proxy for browser chat, AI APIs, and coding agents.
767 starsTypeScriptApache-2.0Last push Oct 13, 2026
Rank 1,374: Countly/countly-server
Countly is a privacy-first, AI-powered analytics and engagement platform for understanding and optimizing customer journeys across digital applications, from desktop and mobile to…
5,918 starsJavaScriptOther licenseLast push Oct 16, 2026
Rank 4,391: capitalone/DataProfiler
What's in your data? Extract schema, statistics and entities from datasets
1,596 starsPythonApache-2.0Last push Sep 14, 2026
Rank 705: data-privacy-stack/presidio
An open-source framework for detecting, redacting, masking, and anonymizing sensitive data (PII) across text, images, and structured data. Supports NLP, pattern matching, and cust…
11,388 starsPythonMITLast push Oct 18, 2026
Rank 1,290: Trusted-AI/adversarial-robustness-toolbox
Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams
6,278 starsPythonMITLast push Oct 8, 2026
Rank 9,376: mithril-security/blindai
Confidential AI deployment with secure enclaves
513 starsRustApache-2.0Last push Mar 19, 2024