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.
#自然语言处理#An open-source framework for detecting, redacting, masking, and anonymizing sensitive data (PII) across text, images, and structured data. Supports NLP, pattern matching, and customizable pipelines.
#计算机科学#Diffprivlib: The IBM Differential Privacy Library
Awesome Machine Unlearning (A Survey of Machine Unlearning)
OpenHuFu is an open-sourced data federation system to support collaborative queries over multi databases with security guarantee.
#计算机科学#All materials you need for Federated Learning: blogs, videos, papers, and softwares, etc.
#计算机科学#Privacy Meter: An open-source library to audit data privacy in statistical and machine learning algorithms.
The Privacy Engineering & Compliance Framework
Privacy details of SDKs for Apple Privacy Nutrition & Google Safety Section disclosure.
#计算机科学#An easy-to-use federated learning platform
#区块链#A permissionless blockchain network to manage digital identity and access rights
#安全#Data security framework for Clojure
[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, Denn...
A curated list of data privacy and security resources
#Awesome#A curated list of Federated Learning papers/articles and recent advancements.
Statify – statistics plugin for WordPress
Python package for simple implementations of state-of-the-art LDP frequency estimation algorithms. Contains code for our VLDB 2021 Paper.
A workshop on data privacy methods for data scientists.
[NeurIPS23 (Spotlight)] "Model Sparsity Can Simplify Machine Unlearning" by Jinghan Jia*, Jiancheng Liu*, Parikshit Ram, Yuguang Yao, Gaowen Liu, Yang Liu, Pranay Sharma, Sijia Liu