data-privacy

Countly helps you get insights from your application. Available self-hosted or on private cloud.

Diffprivlib: The IBM Differential Privacy Library

All materials you need for Federated Learning: blogs, videos, papers, and softwares, etc.

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

Privacy details of SDKs for Apple Privacy Nutrition & Google Safety Section disclosure.

Privacy as Code for your CI and runtime environment

A permissionless blockchain network to manage digital identity and access rights

Awesome Machine Unlearning (A Survey of Machine Unlearning)

An easy-to-use federated learning platform

A curated list of data privacy and security resources

Statify – statistics plugin for WordPress

A workshop on data privacy methods for data scientists.

GitHub Data Loss Prevention (DLP) Action: Scan Pull Requests for sensitive data, like credentials & secrets, PII, credit card numbers, and more.

Neuralyzer is a library and a command line tool to anonymize databases (by updating existing data or populating a table with fake data)

Python package for simple implementations of state-of-the-art LDP frequency estimation algorithms. Contains code for our VLDB 2021 Paper.

Privacy as Code for DSAR Orchestration: Privacy Request automation to fulfill GDPR, CCPA, and LGPD data subject requests.

Evaluating variety of k-Anonymity techniques.

A curated list of Federated Learning papers/articles and recent advancements.

Test Data Generation

list of applications or some things that "probably" steal or broke the data privacy.