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
  ☆59Updated 5 years ago
• dpcomp-org / dpcomp_core
  ☆43Updated 4 years ago
• SSGAalto / minionn
  Privacy -preserving Neural Networks
  ☆78Updated 6 years ago
• csiro-mlai / deep-mpc
  ☆37Updated 8 months ago
• LaRiffle / ariann
  Low-Interaction Privacy-Preserving Deep Learning via Function Secret Sharing
  ☆51Updated 4 years ago
• snwagh / securenn-public
  Implementation of protocols in SecureNN.
  ☆129Updated 2 years ago
• mortendahl / awesome-ppml
  A curated list of resources for privacy-preserving machine learning
  ☆150Updated 3 years ago
• bargavj / distributedMachineLearning
  This work combines differential privacy and multi-party computation protocol to achieve distributed machine learning.
  ☆26Updated 4 years ago
• snwagh / falcon-public
  Implementation of protocols in Falcon
  ☆94Updated 11 months ago
• OpenMined / SyMPC
  A SMPC companion library for Syft
  ☆104Updated 3 weeks ago
• yuxiangw / autodp
  autodp: A flexible and easy-to-use package for differential privacy
  ☆273Updated last year
• ppml-news / ppml-news.github.io
  News in Privacy-Preserving Machine Learning
  ☆12Updated 5 years 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
• pps-lab / rofl-project-code
  ☆32Updated 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
• schoppmp / linreg-mpc
  A Secure Multiparty Computation (MPC) protocol for computing linear regression on vertically distributed datasets.
  ☆32Updated 6 years ago
• intel / pailliercryptolib_python
  Intel Paillier Cryptosystem Library is an open-source library which provides accelerated performance of a partial homomorphic encryption …
  ☆56Updated 2 weeks ago
• OpenMined / sycret
  Function Secret Sharing library for Python and Rust with hardware acceleration (PETS '22)
  ☆58Updated last year
• Ye-D / PPML-Resource
  Materials about Privacy-Preserving Machine Learning
  ☆252Updated 5 months ago
• mpc-msri / EzPC
  ☆429Updated last year
• tf-encrypted / tf-seal
  Bridge between TensorFlow and the Microsoft SEAL homomorphic encryption library
  ☆95Updated 5 years ago
• OpenMined / PSI
  Private Set Intersection Cardinality protocol based on ECDH and Bloom Filters
  ☆143Updated 3 weeks ago
• LaRiffle / collateral-learning
  Collateral Learning - Functional Encryption and Adversarial Training on partially encrypted networks
  ☆76Updated 11 months ago
• jeffreysijuntan / CryptGPU
  Fast Privacy-Preserving Machine Learning on the GPU
  ☆84Updated 4 years ago
• bit-ml / Private-Set-Intersection
  ☆57Updated 3 years ago
• shreya-28 / Secure-ML
  Secure Linear Regression in the Semi-Honest Two-Party Setting.
  ☆39Updated 5 years ago
• TRUST-TUDa / SAFELearn
  Secure Aggregation for FL
  ☆35Updated last year
• chiraag / gazelle_mpc
  ☆67Updated 6 years ago
• mc2-project / secure-xgboost
  Secure collaborative training and inference for XGBoost.
  ☆105Updated 2 years ago
• marcoszh / BatchCrypt
  ☆88Updated 5 years ago