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.
This repository contains Python scripts to identify attributes in a dataset and subsequently determine the best QID dimension based on privacy gain and non-uniform entropy.
Arcana Developer Dashboard allows dApp developers to configure how they choose to integrate and use Arcana SDKs and tailor desired user experience for authentication, data privacy, storage access, and monitoring dApp user storage consumption metrics.
ANJANA is a Python library for anonymizing sensitive data
[ICLR24 (Spotlight)] "SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation" by Chongyu Fan*, Jiancheng Liu*, Yihua Zhang, Eric Wong, Dennis Wei, Sijia Liu
The Privacy Engineering & Compliance Framework
Awesome Machine Unlearning (A Survey of Machine Unlearning)
Diffprivlib: The IBM Differential Privacy Library
This is a password manager that creates passwords based on user inputted key words, encrypting them, and storing/retrieving them.
cookie and private data consent management in Next.js with lightning-fast setup
An online privacy protection engine for keeping you anonymous while online.
Securing confidential data in database using ZKML based cryptographic approach with auto encoder based encoding
Breaking the Trilemma of Privacy, Utility, Efficiency via Controllable Machine Unlearning
💬 An ephemeral, real-time chat application preserving privacy by storing messages only in the user's browser 🌐. Perfect for instant conversations that leave no trace once the browser is closed.
Privacy Meter: An open-source library to audit data privacy in statistical and machine learning algorithms.
Data security framework for Clojure
OpenHuFu is an open-sourced data federation system to support collaborative queries over multi databases with security guarantee.
"Challenging Forgets: Unveiling the Worst-Case Forget Sets in Machine Unlearning" by Chongyu Fan*, Jiancheng Liu*, Alfred Hero, Sijia Liu
Collection of tools and resources for managing the statistical disclosure control of trained machine learning models
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