Diffprivlib: The IBM Differential Privacy Library
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Updated
May 22, 2024 - Python
Diffprivlib: The IBM Differential Privacy Library
The Privacy Engineering & Compliance Framework
An easy-to-use federated learning platform
[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
Python package for simple implementations of state-of-the-art LDP frequency estimation algorithms. Contains code for our VLDB 2021 Paper.
[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
Evaluating variety of k-Anonymity techniques.
Privacy as Code for DSAR Orchestration: Privacy Request automation to fulfill GDPR, CCPA, and LGPD data subject requests.
Multiple Frequency Estimation Under Local Differential Privacy in Python
Python CLI tool to redact and un-redact sensitive data from text files. 🔐📝
Python Data Loss Prevention (DLP) SDK - Nightfall Developer Platform
pyCANON is a Python library and CLI to assess the values of the parameters associated with the most common privacy-preserving techniques.
Collection of tools and resources for managing the statistical disclosure control of trained machine learning models
Honest-but-Curious Nets: Sensitive Attributes of Private Inputs Can Be Secretly Coded into the Classifiers' Outputs (ACM CCS'21)
AI+Blockchain-powered decentralized system to share analytics while keeping data private.
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
Source code for LDPTrace: Locally Differentially Private Trajectory Synthesis. VLDB 2023.
Data Privacy - CSCI 6900, Fall '16
Examples for implementing pseudonymization patterns in Django for data privacy and compliance.
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