IBM/ai-privacy-toolkit
A toolkit for tools and techniques related to the privacy and compliance of AI models.
This toolkit helps organizations ensure their AI models comply with data protection regulations like GDPR and CCPA. It takes your machine learning model's training data or the model itself and applies anonymization and minimization techniques. The output is a modified dataset or model that requires less personal information or is considered anonymous, helping privacy officers and data scientists reduce regulatory risk.
110 stars. No commits in the last 6 months. Available on PyPI.
Use this if you need to build or deploy AI models while adhering to strict data privacy principles and regulations, reducing the risk of non-compliance.
Not ideal if you are looking for general-purpose machine learning security against adversarial attacks or a library solely focused on differential privacy.
Stars
110
Forks
47
Language
Python
License
MIT
Category
Last pushed
Sep 17, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/IBM/ai-privacy-toolkit"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related frameworks
taranis-ai/taranis-ai
Taranis AI is an advanced Open-Source Intelligence (OSINT) tool, leveraging Artificial...
EthicalML/awesome-artificial-intelligence-regulation
This repository aims to map the ecosystem of artificial intelligence guidelines, principles,...
very-good-science/data-ethics-club
A reading list and fortnightly discussion group designed to provoke discussion about ethical...
freeman42x/awesome-artificial-general-intelligence
Resources about Artificial General Intelligence
quantumscience/books
Information Theory, Theoretical Physics, Data Science and Engineering, Philosophy of Art and...