Alternatives and similar repositories for private-pgm:

Users that are interested in private-pgm are comparing it to the libraries listed below

• spring-epfl / synthetic_data_release
  ☆39Updated 2 years ago
• ganevgv / dp-generative-models
  Differentially Private (tabular) Generative Models Papers with Code
  ☆48Updated 9 months ago
• caicre / PrivMRF
  An implementation of "Data Synthesis via Differentially Private Markov Random Fields"
  ☆13Updated last year
• microsoft / prv_accountant
  A fast algorithm to optimally compose privacy guarantees of differentially private (DP) mechanisms to arbitrary accuracy.
  ☆73Updated last year
• alan-turing-institute / tapas
  ☆35Updated last year
• opendp / smartnoise-sdk
  Tools and service for differentially private processing of tabular and relational data
  ☆263Updated 2 months ago
• BorealisAI / private-data-generation
  A toolbox for differentially private data generation
  ☆131Updated last year
• BorjaBalle / analytic-gaussian-mechanism
  Analytic calibration for differential privacy with Gaussian perturbations
  ☆47Updated 6 years ago
• hharcolezi / multi-freq-ldpy
  Multiple Frequency Estimation Under Local Differential Privacy in Python
  ☆47Updated last year
• statice / anonymeter
  A Unified Framework for Quantifying Privacy Risk in Synthetic Data according to the GDPR
  ☆83Updated last month
• dpcomp-org / dpcomp_core
  ☆43Updated 3 years ago
• IBM / discrete-gaussian-differential-privacy
  Code for Canonne-Kamath-Steinke paper https://arxiv.org/abs/2004.00010
  ☆62Updated 4 years ago
• 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.
  ☆74Updated last year
• DPBayes / PLD-Accountant
  Code for computing tight guarantees for differential privacy
  ☆23Updated 2 years ago
• awslabs / fast-differential-privacy
  Fast, memory-efficient, scalable optimization of deep learning with differential privacy
  ☆120Updated 3 months ago
• yuxiangw / autodp
  autodp: A flexible and easy-to-use package for differential privacy
  ☆274Updated last year
• bargavj / EvaluatingDPML
  This project's goal is to evaluate the privacy leakage of differentially private machine learning models.
  ☆131Updated 2 years ago
• illidanlab / dpgan
  Source code of paper "Differentially Private Generative Adversarial Network"
  ☆69Updated 6 years ago
• Billy1900 / Awesome-Differential-Privacy
  Differential private machine learning
  ☆191Updated 3 years ago
• OpenMined / PyDP
  The Python Differential Privacy Library. Built on top of: https://github.com/google/differential-privacy
  ☆510Updated 7 months ago
• opendp / opendp
  The core library of differential privacy algorithms powering the OpenDP Project.
  ☆349Updated this week
• spring-epfl / mia
  A library for running membership inference attacks against ML models
  ☆143Updated 2 years ago
• vvv214 / LDP_Protocols
  Sample LDP implementation in Python
  ☆125Updated last year
• sunblaze-ucb / dpml-benchmark
  This repository contains the codes for first large-scale investigation of Differentially Private Convex Optimization algorithms.
  ☆63Updated 6 years ago
• microsoft / privGAN
  PrivGAN: Protecting GANs from membership inference attacks at low cost
  ☆34Updated 9 months ago
• uvm-plaid / programming-dp
  ☆311Updated 2 months ago
• microsoft / dp-transformers
  Differentially-private transformers using HuggingFace and Opacus
  ☆134Updated 7 months ago
• nesl / nist_differential_privacy_synthetic_data_challenge
  UCLANesl - NIST Differential Privacy Challenge (Match 3)
  ☆24Updated 5 years ago
• ParkLabML / DP-MERF
  ☆17Updated 2 years ago
• hharcolezi / ldp-protocols-mobility-cdrs
  Implementation of local differential privacy mechanisms in Python language.
  ☆28Updated 2 years ago