Countly is a product analytics platform that helps teams track, analyze and act-on their user actions and behaviour on mobile, web and desktop applications.
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Updated
May 27, 2024 - JavaScript
Countly is a product analytics platform that helps teams track, analyze and act-on their user actions and behaviour on mobile, web and desktop applications.
OpenHuFu is an open-sourced data federation system to support collaborative queries over multi databases with security guarantee.
Diffprivlib: The IBM Differential Privacy Library
Privacy Meter: An open-source library to audit data privacy in statistical and machine learning algorithms.
All materials you need for Federated Learning: blogs, videos, papers, and softwares, etc.
The Privacy Engineering & Compliance Framework
An easy-to-use federated learning platform
Awesome Machine Unlearning (A Survey of Machine Unlearning)
Privacy details of SDKs for Apple Privacy Nutrition & Google Safety Section disclosure.
Evaluating variety of k-Anonymity techniques.
A permissionless blockchain network to manage digital identity and access rights
Statify – statistics plugin for WordPress
A workshop on data privacy methods for data scientists.
Privacy as Code for DSAR Orchestration: Privacy Request automation to fulfill GDPR, CCPA, and LGPD data subject requests.
A curated list of data privacy and security resources
Python Data Loss Prevention (DLP) SDK - Nightfall Developer Platform
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)
A curated list of Federated Learning papers/articles and recent advancements.
Python package for simple implementations of state-of-the-art LDP frequency estimation algorithms. Contains code for our VLDB 2021 Paper.
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