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
  ☆525Updated 10 months ago
• menisadi / awesome-differential-privacy
  list of differential-privacy related resources
  ☆312Updated 6 months ago
• opendp / smartnoise-sdk
  Tools and service for differentially private processing of tabular and relational data
  ☆273Updated 2 weeks ago
• privacytrustlab / ml_privacy_meter
  Privacy Meter: An open-source library to audit data privacy in statistical and machine learning algorithms.
  ☆666Updated 2 months ago
• opendp / opendp
  The core library of differential privacy algorithms powering the OpenDP Project.
  ☆368Updated this week
• yuxiangw / autodp
  autodp: A flexible and easy-to-use package for differential privacy
  ☆273Updated last year
• tensorflow / privacy
  Library for training machine learning models with privacy for training data
  ☆1,969Updated last month
• 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
• pytorch / opacus
  Training PyTorch models with differential privacy
  ☆1,825Updated 2 weeks ago
• dpcomp-org / dpcomp_core
  ☆43Updated 4 years ago
• IBM / federated-learning-lib
  A library for federated learning (a distributed machine learning process) in an enterprise environment.
  ☆509Updated 2 months ago
• ryan112358 / private-pgm
  An implementation of the tools described in the paper entitled "Graphical-model based estimation and inference for differential privacy"
  ☆103Updated this week
• uvm-plaid / programming-dp
  ☆317Updated this week
• Billy1900 / Awesome-Differential-Privacy
  Differential private machine learning
  ☆195Updated 3 years ago
• BorjaBalle / analytic-gaussian-mechanism
  Analytic calibration for differential privacy with Gaussian perturbations
  ☆48Updated 6 years ago
• OpenMined / PyVertical
  Privacy Preserving Vertical Federated Learning
  ☆218Updated 2 years ago
• vvv214 / LDP_Protocols
  Sample LDP implementation in Python
  ☆129Updated 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
• haiphanNJIT / PrivateDeepLearning
  Differential Privacy Preservation in Deep Learning under Model Attacks
  ☆135Updated 4 years ago
• OpenMined / SyMPC
  A SMPC companion library for Syft
  ☆104Updated 3 weeks ago
• bargavj / EvaluatingDPML
  This project's goal is to evaluate the privacy leakage of differentially private machine learning models.
  ☆135Updated 2 years ago
• hharcolezi / multi-freq-ldpy
  Multiple Frequency Estimation Under Local Differential Privacy in Python
  ☆48Updated 2 years ago
• OpenMined / PipelineDP
  PipelineDP is a Python framework for applying differentially private aggregations to large datasets using batch processing systems such a…
  ☆277Updated 2 weeks ago
• vaikkunth / PrivacyFL
  A Simulator for Privacy Preserving Federated Learning
  ☆94Updated 4 years ago
• opendp / smartnoise-core-python
  Python language bindings for smartnoise-core.
  ☆76Updated 2 years ago
• IBM / discrete-gaussian-differential-privacy
  Code for Canonne-Kamath-Steinke paper https://arxiv.org/abs/2004.00010
  ☆59Updated 5 years ago
• ibarrond / Pyfhel
  PYthon For Homomorphic Encryption Libraries, perform encrypted computations such as sum, mult, scalar product or matrix multiplication in…
  ☆512Updated 3 weeks ago
• DPBayes / PLD-Accountant
  Code for computing tight guarantees for differential privacy
  ☆23Updated 2 years ago
• Nuclearstar / K-Anonymity
  Anonymization methods for network security.
  ☆158Updated 4 months ago
• forestneo / sunPytools
  Useful tools for differential privacy
  ☆217Updated 2 years ago