Alternatives and similar repositories for secure-xgboost

Users that are interested in secure-xgboost are comparing it to the libraries listed below

• awslabs / privacy-preserving-xgboost-inference
  Privacy-preserving XGBoost Inference
  ☆50Updated 2 years ago
• mc2-project / federated-xgboost
  Federated gradient boosted decision tree learning
  ☆68Updated 2 years ago
• tf-encrypted / tf-seal
  Bridge between TensorFlow and the Microsoft SEAL homomorphic encryption library
  ☆95Updated 5 years ago
• mc2-project / mc2
  A Platform for Secure Analytics and Machine Learning
  ☆305Updated 2 years ago
• intel / he-transformer
  nGraph-HE: Deep learning with Homomorphic Encryption (HE) through Intel nGraph
  ☆174Updated 3 years ago
• capeprivacy / tf-world-tutorial
  TensorFlow World 2019 Tutorial: Privacy-Preserving Machine Learning with TF Encrypted & PySyft
  ☆46Updated 2 years ago
• mortendahl / awesome-ppml
  A curated list of resources for privacy-preserving machine learning
  ☆149Updated 4 years ago
• mortendahl / privateml
  Various material around private machine learning, some associated with blog
  ☆150Updated 6 years ago
• ftramer / slalom
  Fast, Verifiable and Private Execution of Neural Networks in Trusted Hardware
  ☆171Updated 2 years ago
• OpenMined / PyFE
  A library for running Functional Encryption on tensors
  ☆45Updated 5 years ago
• capeprivacy / tf-trusted
  tf-trusted allows you to run TensorFlow models in secure enclaves
  ☆87Updated 5 years ago
• multiparty / conclave
  Query compiler for secure multi-party computation.
  ☆100Updated 5 years ago
• NervanaSystems / he-transformer
  nGraph-HE: Deep learning with Homomorphic Encryption (HE) through Intel nGraph
  ☆223Updated 3 years ago
• SSGAalto / minionn
  Privacy -preserving Neural Networks
  ☆79Updated 7 years ago
• mpc-msri / EzPC
  ☆440Updated last year
• smcql / smcql
  ☆57Updated last year
• OpenMined / SyMPC
  A SMPC companion library for Syft
  ☆107Updated 3 weeks ago
• snwagh / securenn-public
  Implementation of protocols in SecureNN.
  ☆131Updated 3 years ago
• bargavj / distributedMachineLearning
  This work combines differential privacy and multi-party computation protocol to achieve distributed machine learning.
  ☆26Updated 5 years ago
• inspire-lab / CryptoDL
  Privacy-preserving Deep Learning based on homomorphic encryption (HE)
  ☆35Updated 4 years ago
• FudanMPL / SecMML
  SecMML (Queqiao): Secure MPC (multi-party computation) Machine Learning Framework.
  ☆113Updated 2 years ago
• vaikkunth / PrivacyFL
  A Simulator for Privacy Preserving Federated Learning
  ☆96Updated 5 years ago
• OpenMined / sycret
  Function Secret Sharing library for Python and Rust with hardware acceleration (PETS '22)
  ☆57Updated 2 years ago
• ektelo / ektelo
  ☆38Updated 3 years ago
• yuxiangw / autodp
  autodp: A flexible and easy-to-use package for differential privacy
  ☆278Updated 2 years ago
• OpenMined / PSI
  Private Set Intersection Cardinality protocol based on ECDH and Bloom Filters
  ☆148Updated last month
• sarus-tech / dp-xgboost
  ☆24Updated 2 years ago
• intel / pailliercryptolib_python
  Intel Paillier Cryptosystem Library is an open-source library which provides accelerated performance of a partial homomorphic encryption …
  ☆56Updated 6 months ago
• mc2-project / cerebro
  Cerebro: A platform for Secure Coopetitive Learning
  ☆23Updated 4 years ago
• Lab41 / PySEAL
  This repository is a fork of Microsoft Research's homomorphic encryption implementation, the Simple Encrypted Arithmetic Library (SEAL). …
  ☆230Updated 6 years ago