Alternatives and similar repositories for privacybuckets

Users that are interested in privacybuckets are comparing it to the libraries listed below

• IBM / discrete-gaussian-differential-privacy
  Code for Canonne-Kamath-Steinke paper https://arxiv.org/abs/2004.00010
  ☆62Updated 5 years ago
• sunblaze-ucb / dpml-benchmark
  This repository contains the codes for first large-scale investigation of Differentially Private Convex Optimization algorithms.
  ☆63Updated 7 years ago
• OpenMined / SyMPC
  A SMPC companion library for Syft
  ☆105Updated last month
• yuxiangw / autodp
  autodp: A flexible and easy-to-use package for differential privacy
  ☆276Updated 2 years ago
• SSGAalto / minionn
  Privacy -preserving Neural Networks
  ☆79Updated 6 years ago
• snwagh / securenn-public
  Implementation of protocols in SecureNN.
  ☆131Updated 3 years ago
• bargavj / EvaluatingDPML
  This project's goal is to evaluate the privacy leakage of differentially private machine learning models.
  ☆135Updated 2 years ago
• microsoft / prv_accountant
  A fast algorithm to optimally compose privacy guarantees of differentially private (DP) mechanisms to arbitrary accuracy.
  ☆75Updated last year
• dpcomp-org / dpcomp_core
  ☆45Updated 4 years ago
• bargavj / distributedMachineLearning
  This work combines differential privacy and multi-party computation protocol to achieve distributed machine learning.
  ☆26Updated 5 years ago
• LaRiffle / ariann
  Low-Interaction Privacy-Preserving Deep Learning via Function Secret Sharing
  ☆51Updated 4 years ago
• mortendahl / awesome-ppml
  A curated list of resources for privacy-preserving machine learning
  ☆149Updated 4 years ago
• BorjaBalle / analytic-gaussian-mechanism
  Analytic calibration for differential privacy with Gaussian perturbations
  ☆51Updated 7 years ago
• schoppmp / linreg-mpc
  A Secure Multiparty Computation (MPC) protocol for computing linear regression on vertically distributed datasets.
  ☆32Updated 6 years ago
• mpc-msri / EzPC
  ☆440Updated last year
• ftramer / Handcrafted-DP
  ☆80Updated 3 years ago
• LaRiffle / collateral-learning
  Collateral Learning - Functional Encryption and Adversarial Training on partially encrypted networks
  ☆77Updated last year
• snwagh / falcon-public
  Implementation of protocols in Falcon
  ☆95Updated last year
• OpenMined / sycret
  Function Secret Sharing library for Python and Rust with hardware acceleration (PETS '22)
  ☆57Updated 2 years ago
• steven7woo / Accuracy-First-Differential-Privacy
  Code for NIPS'2017 paper
  ☆51Updated 5 years ago
• amartya18x / tapas
  Tricks for Accelerating (encrypted) Prediction As a Service
  ☆19Updated 6 years ago
• capeprivacy / tf-world-tutorial
  TensorFlow World 2019 Tutorial: Privacy-Preserving Machine Learning with TF Encrypted & PySyft
  ☆46Updated 2 years ago
• tf-encrypted / tf-seal
  Bridge between TensorFlow and the Microsoft SEAL homomorphic encryption library
  ☆95Updated 5 years ago
• ektelo / ektelo
  ☆38Updated 3 years ago
• bit-ml / Private-Set-Intersection
  ☆58Updated 3 years ago
• ppml-news / ppml-news.github.io
  News in Privacy-Preserving Machine Learning
  ☆12Updated 5 years ago
• Ye-D / PPML-Resource
  Materials about Privacy-Preserving Machine Learning
  ☆260Updated 2 months ago
• inspire-lab / CryptoDL
  Privacy-preserving Deep Learning based on homomorphic encryption (HE)
  ☆35Updated 4 years ago
• csiro-mlai / deep-mpc
  ☆38Updated last year
• intel / pailliercryptolib_python
  Intel Paillier Cryptosystem Library is an open-source library which provides accelerated performance of a partial homomorphic encryption …
  ☆56Updated 5 months ago