Alternatives and similar repositories for awesome-ppml

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

• mortendahl / privateml
  Various material around private machine learning, some associated with blog
  ☆150Updated 6 years ago
• OpenMined / SyMPC
  A SMPC companion library for Syft
  ☆106Updated 3 weeks ago
• SSGAalto / minionn
  Privacy -preserving Neural Networks
  ☆79Updated 7 years ago
• tf-encrypted / tf-seal
  Bridge between TensorFlow and the Microsoft SEAL homomorphic encryption library
  ☆95Updated 6 years ago
• capeprivacy / tf-world-tutorial
  TensorFlow World 2019 Tutorial: Privacy-Preserving Machine Learning with TF Encrypted & PySyft
  ☆46Updated 2 years ago
• ppml-news / ppml-news.github.io
  News in Privacy-Preserving Machine Learning
  ☆12Updated 5 years ago
• LaRiffle / collateral-learning
  Collateral Learning - Functional Encryption and Adversarial Training on partially encrypted networks
  ☆77Updated last year
• mpc-msri / EzPC
  ☆441Updated last year
• snwagh / securenn-public
  Implementation of protocols in SecureNN.
  ☆131Updated 3 years ago
• OpenMined / PyFE
  A library for running Functional Encryption on tensors
  ☆45Updated 5 years ago
• menisadi / awesome-differential-privacy
  list of differential-privacy related resources
  ☆324Updated last year
• intel / he-transformer
  nGraph-HE: Deep learning with Homomorphic Encryption (HE) through Intel nGraph
  ☆175Updated 3 years ago
• schoppmp / linreg-mpc
  A Secure Multiparty Computation (MPC) protocol for computing linear regression on vertically distributed datasets.
  ☆32Updated 6 years ago
• OpenMined / sycret
  Function Secret Sharing library for Python and Rust with hardware acceleration (PETS '22)
  ☆57Updated 2 years ago
• ftramer / slalom
  Fast, Verifiable and Private Execution of Neural Networks in Trusted Hardware
  ☆171Updated 2 years ago
• capeprivacy / tf-trusted
  tf-trusted allows you to run TensorFlow models in secure enclaves
  ☆87Updated 5 years ago
• OpenMined / private-ai-resources
  SOON TO BE DEPRECATED - Private machine learning progress
  ☆471Updated 5 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
• Ye-D / PPML-Resource
  Materials about Privacy-Preserving Machine Learning
  ☆263Updated 4 months ago
• NervanaSystems / he-transformer
  nGraph-HE: Deep learning with Homomorphic Encryption (HE) through Intel nGraph
  ☆223Updated 3 years ago
• OpenMined / PySyft-TensorFlow
  SOON TO BE DEPRECATED - The TensorFlow bindings for PySyft
  ☆56Updated 5 years ago
• OpenMined / PSI
  Private Set Intersection Cardinality protocol based on ECDH and Bloom Filters
  ☆148Updated last month
• mc2-project / delphi
  A Cryptographic Inference Service for Neural Networks
  ☆131Updated last year
• coMindOrg / federated-averaging-tutorials
  A set of tutorials to implement the Federated Averaging algorithm on TensorFlow.
  ☆183Updated 4 years ago
• mc2-project / secure-xgboost
  Secure collaborative training and inference for XGBoost.
  ☆107Updated 3 years ago
• timmers / awesome-federated-learning
  A curated list of resources dedicated to federated learning.
  ☆105Updated 3 years ago
• snwagh / falcon-public
  Implementation of protocols in Falcon
  ☆95Updated last year
• sommerda / privacybuckets
  A implementation of Privacy Buckets: A numerical tool to calculate privacy loss
  ☆11Updated 3 years ago
• intel / pailliercryptolib_python
  Intel Paillier Cryptosystem Library is an open-source library which provides accelerated performance of a partial homomorphic encryption …
  ☆56Updated 7 months ago