Alternatives and similar repositories for awesome-differential-privacy

Users that are interested in awesome-differential-privacy are comparing it to the libraries listed below

• Billy1900 / Awesome-Differential-Privacy
  Differential private machine learning
  ☆193Updated 3 years ago
• OpenMined / PyDP
  The Python Differential Privacy Library. Built on top of: https://github.com/google/differential-privacy
  ☆520Updated 8 months ago
• mortendahl / awesome-ppml
  A curated list of resources for privacy-preserving machine learning
  ☆150Updated 3 years ago
• dpcomp-org / dpcomp_core
  ☆43Updated 3 years ago
• vvv214 / LDP_Protocols
  Sample LDP implementation in Python
  ☆127Updated last year
• 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
• yuxiangw / autodp
  autodp: A flexible and easy-to-use package for differential privacy
  ☆275Updated last year
• IBM / differential-privacy-library
  Diffprivlib: The IBM Differential Privacy Library
  ☆867Updated 3 weeks ago
• Guyanqi / Awesome-Privacy
  Repository for collection of research papers on privacy.
  ☆341Updated 10 months ago
• forestneo / sunPytools
  Useful tools for differential privacy
  ☆216Updated 2 years ago
• hharcolezi / multi-freq-ldpy
  Multiple Frequency Estimation Under Local Differential Privacy in Python
  ☆48Updated last year
• haiphanNJIT / PrivateDeepLearning
  Differential Privacy Preservation in Deep Learning under Model Attacks
  ☆135Updated 4 years ago
• uvm-plaid / programming-dp
  ☆315Updated 4 months ago
• bargavj / EvaluatingDPML
  This project's goal is to evaluate the privacy leakage of differentially private machine learning models.
  ☆135Updated 2 years ago
• opendp / smartnoise-sdk
  Tools and service for differentially private processing of tabular and relational data
  ☆267Updated 4 months ago
• OpenMined / PyVertical
  Privacy Preserving Vertical Federated Learning
  ☆218Updated 2 years ago
• ppmlguy / DP-AGD
  Concentrated Differentially Private Gradient Descent with Adaptive per-iteration Privacy Budget
  ☆49Updated 7 years ago
• ChrisWaites / pyvacy
  Differentially Private Optimization for PyTorch 👁🙅‍♀️
  ☆186Updated 5 years ago
• Ye-D / PPML-Resource
  Materials about Privacy-Preserving Machine Learning
  ☆248Updated 3 months ago
• vaikkunth / PrivacyFL
  A Simulator for Privacy Preserving Federated Learning
  ☆94Updated 4 years ago
• llgeek / K-anonymity-and-Differential-Privacy
  Implementation of DataFly for K-anonymity, and implemented Laplace Mechanism and Exponential Mechanism for Differential Privacy
  ☆40Updated 6 years ago
• OpenMined / SyMPC
  A SMPC companion library for Syft
  ☆103Updated last week
• BorjaBalle / analytic-gaussian-mechanism
  Analytic calibration for differential privacy with Gaussian perturbations
  ☆48Updated 6 years ago
• spring-epfl / mia
  A library for running membership inference attacks against ML models
  ☆147Updated 2 years ago
• bargavj / distributedMachineLearning
  This work combines differential privacy and multi-party computation protocol to achieve distributed machine learning.
  ☆26Updated 4 years ago
• opendp / opendp
  The core library of differential privacy algorithms powering the OpenDP Project.
  ☆363Updated this week
• mbrg / differential-privacy
  Naive implementation of basic Differential-Privacy framework and algorithms
  ☆48Updated 2 years ago
• Samuel-Maddock / federated-boosted-dp-trees
  Code for the CCS'22 paper "Federated Boosted Decision Trees with Differential Privacy"
  ☆45Updated last year
• privacytrustlab / ml_privacy_meter
  Privacy Meter: An open-source library to audit data privacy in statistical and machine learning algorithms.
  ☆651Updated last month
• mpc-msri / EzPC
  ☆424Updated 11 months ago