Alternatives and similar repositories for differential-privacy-library

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

• OpenMined / PyDP
  The Python Differential Privacy Library. Built on top of: https://github.com/google/differential-privacy
  ☆541Updated last week
• menisadi / awesome-differential-privacy
  list of differential-privacy related resources
  ☆317Updated 9 months ago
• opendp / smartnoise-sdk
  Tools and service for differentially private processing of tabular and relational data
  ☆284Updated 2 months ago
• privacytrustlab / ml_privacy_meter
  Privacy Meter: An open-source library to audit data privacy in statistical and machine learning algorithms.
  ☆680Updated 6 months ago
• opendp / opendp
  The core library of differential privacy algorithms powering the OpenDP Project.
  ☆389Updated last week
• yuxiangw / autodp
  autodp: A flexible and easy-to-use package for differential privacy
  ☆275Updated last year
• IBM / federated-learning-lib
  A library for federated learning (a distributed machine learning process) in an enterprise environment.
  ☆519Updated last month
• OpenMined / PyVertical
  Privacy Preserving Vertical Federated Learning
  ☆219Updated 2 years ago
• ryan112358 / mbi
  A library providing general-purpose tools for estimating discrete distributions from noisy observations of their marginals.
  ☆106Updated last month
• Billy1900 / Awesome-Differential-Privacy
  Differential private machine learning
  ☆195Updated 3 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.
  ☆77Updated 2 years ago
• tensorflow / privacy
  Library for training machine learning models with privacy for training data
  ☆1,987Updated 4 months ago
• meta-pytorch / opacus
  Training PyTorch models with differential privacy
  ☆1,870Updated this week
• BorjaBalle / analytic-gaussian-mechanism
  Analytic calibration for differential privacy with Gaussian perturbations
  ☆50Updated 7 years ago
• uvm-plaid / programming-dp
  ☆325Updated 3 months ago
• google-research / federated
  A collection of Google research projects related to Federated Learning and Federated Analytics.
  ☆736Updated 4 months ago
• dpcomp-org / dpcomp_core
  ☆45Updated 4 years ago
• vvv214 / LDP_Protocols
  Sample LDP implementation in Python
  ☆129Updated 2 years ago
• hharcolezi / multi-freq-ldpy
  Multiple Frequency Estimation Under Local Differential Privacy in Python
  ☆49Updated 2 years ago
• poga / awesome-federated-learning
  resources about federated learning and privacy in machine learning
  ☆540Updated last year
• SAP-samples / machine-learning-diff-private-federated-learning
  Simulate a federated setting and run differentially private federated learning.
  ☆382Updated 7 months ago
• sunblaze-ucb / dpml-benchmark
  This repository contains the codes for first large-scale investigation of Differentially Private Convex Optimization algorithms.
  ☆63Updated 6 years ago
• OpenMined / SyMPC
  A SMPC companion library for Syft
  ☆105Updated 2 weeks ago
• haiphanNJIT / PrivateDeepLearning
  Differential Privacy Preservation in Deep Learning under Model Attacks
  ☆135Updated 4 years ago
• opendp / smartnoise-core-python
  Python language bindings for smartnoise-core.
  ☆76Updated 2 years ago
• bargavj / EvaluatingDPML
  This project's goal is to evaluate the privacy leakage of differentially private machine learning models.
  ☆135Updated 2 years ago
• ganevgv / dp-generative-models
  Differentially Private (tabular) Generative Models Papers with Code
  ☆53Updated last year
• Guyanqi / Awesome-Privacy
  Repository for collection of research papers on privacy.
  ☆343Updated last year
• Nuclearstar / K-Anonymity
  Anonymization methods for network security.
  ☆160Updated 7 months ago
• vaikkunth / PrivacyFL
  A Simulator for Privacy Preserving Federated Learning
  ☆96Updated 4 years ago