The Privacy Engineering & Compliance Framework

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 is a password manager that creates passwords based on user inputted key words, encrypting them, and storing/retrieving them.

DataArmor is a cutting-edge tool focused on safeguarding privacy in today's data-driven world using K-anonymity L-diversity and t-closeness privacy model. As the sharing of personal and microdata grows, ensuring the protection of individual identities during data publication and analysis becomes essential.

ANJANA is a Python library for anonymizing sensitive data

Collection of tools and resources for managing the statistical disclosure control of trained machine learning models

Homomorphic Encryption/Decryption with Strings!

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.

We propose dsDid, a federated learning package implemented in DataSHIELD with a federated version of the DID approach of Callaway and Sant'Anna (2022) at its core. It allows for the federated estimation of treatment effects per period and the corresponding federated uncertainty quantification.

OpenHuFu is an open-sourced data federation system to support collaborative queries over multi databases with security guarantee.

Tools for the Automatic Checking of Research Outputs. These are the tools for researchers to use as drop-in replacements for commands that produce outputs in Stata Python and R

Sonarum revolutionizes human-machine communication by securing real-time text, audio, and video streams while remaining fast, secure, and lightweight. It detects and controls sensitive and secure data on-the-fly, ensuring privacy and security without compromising quality.

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

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.

An online privacy protection engine for keeping you anonymous while online.

Awesome Machine Unlearning (A Survey of Machine Unlearning)

[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

Diffprivlib: The IBM Differential Privacy Library

cookie and private data consent management in Next.js with lightning-fast setup

Securing confidential data in database using ZKML based cryptographic approach with auto encoder based encoding