data-privacy
There are 165 repositories under data-privacy topic.
Countly/countly-server
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.
IBM/differential-privacy-library
Diffprivlib: The IBM Differential Privacy Library
BUAA-BDA/OpenHuFu
OpenHuFu is an open-sourced data federation system to support collaborative queries over multi databases with security guarantee.
weimingwill/awesome-federated-learning
All materials you need for Federated Learning: blogs, videos, papers, and softwares, etc.
tamlhp/awesome-machine-unlearning
Awesome Machine Unlearning (A Survey of Machine Unlearning)
privacytrustlab/ml_privacy_meter
Privacy Meter: An open-source library to audit data privacy in statistical and machine learning algorithms.
Privado-Inc/SDK-Privacy-Report
Privacy details of SDKs for Apple Privacy Nutrition & Google Safety Section disclosure.
ethyca/fides
The Privacy Engineering & Compliance Framework
EasyFL-AI/EasyFL
An easy-to-use federated learning platform
hypersign-protocol/hid-node
A permissionless blockchain network to manage digital identity and access rights
taoensso/tempel
Data security framework for Clojure
yilmaztolga/awesome-data-privacy
A curated list of data privacy and security resources
monk1337/Aweome-Heathcare-Federated-Learning
A curated list of Federated Learning papers/articles and recent advancements.
OPTML-Group/Unlearn-Saliency
[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
pluginkollektiv/statify
Statify – statistics plugin for WordPress
Samuel-Maddock/pure-LDP
Python package for simple implementations of state-of-the-art LDP frequency estimation algorithms. Contains code for our VLDB 2021 Paper.
kiprotect/data-privacy-for-data-scientists
A workshop on data privacy methods for data scientists.
nightfallai/nightfall_dlp_action
GitHub Data Loss Prevention (DLP) Action: Scan Pull Requests for sensitive data, like credentials & secrets, PII, credit card numbers, and more.
OPTML-Group/Unlearn-Sparse
[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
kaylode/k-anonymity
Evaluating variety of k-Anonymity techniques.
edyan/neuralyzer
Neuralyzer is a library and a command line tool to anonymize databases (by updating existing data or populating a table with fake data)
ethyca/fidesops
Privacy as Code for DSAR Orchestration: Privacy Request automation to fulfill GDPR, CCPA, and LGPD data subject requests.
brootware/PyRedactKit
Python CLI tool to redact and un-redact sensitive data from text files. 🔐📝
hharcolezi/multi-freq-ldpy
Multiple Frequency Estimation Under Local Differential Privacy in Python
dsietz/test-data-generation
Test Data Generation
k1m0ch1/big-brother-test
list of applications or some things that "probably" steal or broke the data privacy.
hharcolezi/ldp-protocols-mobility-cdrs
Implementation of local differential privacy mechanisms in Python language.
nightfallai/nightfall-python-sdk
Python Data Loss Prevention (DLP) SDK - Nightfall Developer Platform
IFCA-Advanced-Computing/pycanon
pyCANON is a Python library and CLI to assess the values of the parameters associated with the most common privacy-preserving techniques.
AI-SDC/AI-SDC
Collection of tools and resources for managing the statistical disclosure control of trained machine learning models
subrose/thorn
🌹 Thorn is an open-source, data privacy vault to store and manage PII in a fully compliant manner.
mmalekzadeh/honest-but-curious-nets
Honest-but-Curious Nets: Sensitive Attributes of Private Inputs Can Be Secretly Coded into the Classifiers' Outputs (ACM CCS'21)
nikosgalanis/local-dp-protocols
🎓🔒 Creating, Analyzing and Testing Differential Privacy Protocols, aiming in Data Protection and Anonymization.
Samuel-Maddock/Apple-Differential-Privacy
Apple Differential Privacy Implementation
AI-SDC/ACRO
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