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
  ☆48Updated last year
• mc2-project / federated-xgboost
  Federated gradient boosted decision tree learning
  ☆69Updated last year
• tf-encrypted / tf-seal
  Bridge between TensorFlow and the Microsoft SEAL homomorphic encryption library
  ☆95Updated 5 years ago
• snwagh / securenn-public
  Implementation of protocols in SecureNN.
  ☆130Updated 2 years ago
• capeprivacy / tf-world-tutorial
  TensorFlow World 2019 Tutorial: Privacy-Preserving Machine Learning with TF Encrypted & PySyft
  ☆46Updated last year
• smcql / smcql
  ☆55Updated last year
• capeprivacy / tf-trusted
  tf-trusted allows you to run TensorFlow models in secure enclaves
  ☆87Updated 4 years ago
• schoppmp / linreg-mpc
  A Secure Multiparty Computation (MPC) protocol for computing linear regression on vertically distributed datasets.
  ☆32Updated 5 years ago
• SSGAalto / minionn
  Privacy -preserving Neural Networks
  ☆78Updated 6 years ago
• multiparty / conclave
  Query compiler for secure multi-party computation.
  ☆99Updated 4 years ago
• OpenMined / PyFE
  A library for running Functional Encryption on tensors
  ☆43Updated 4 years ago
• intel / he-transformer
  nGraph-HE: Deep learning with Homomorphic Encryption (HE) through Intel nGraph
  ☆173Updated 2 years ago
• OpenMined / SyMPC
  A SMPC companion library for Syft
  ☆102Updated 2 months ago
• snwagh / falcon-public
  Implementation of protocols in Falcon
  ☆93Updated 6 months ago
• mcoder / private-set-intersection
  A python library providing several polynomial-based Private Set Intersection protocols.
  ☆43Updated 10 years ago
• OpenMined / PSI
  Private Set Intersection Cardinality protocol based on ECDH and Bloom Filters
  ☆138Updated 3 months ago
• ftramer / slalom
  Fast, Verifiable and Private Execution of Neural Networks in Trusted Hardware
  ☆163Updated last year
• bit-ml / Private-Set-Intersection
  ☆54Updated 2 years ago
• mortendahl / awesome-ppml
  A curated list of resources for privacy-preserving machine learning
  ☆148Updated 3 years ago
• mortendahl / privateml
  Various material around private machine learning, some associated with blog
  ☆149Updated 5 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
• FudanMPL / SecMML
  SecMML (Queqiao): Secure MPC (multi-party computation) Machine Learning Framework.
  ☆114Updated last year
• sarus-tech / dp-xgboost
  ☆23Updated last year
• inspire-lab / CryptoDL
  Privacy-preserving Deep Learning based on homomorphic encryption (HE)
  ☆33Updated 3 years ago
• Ye-D / PPML-Resource
  Materials about Privacy-Preserving Machine Learning
  ☆237Updated last week
• shreya-28 / Secure-ML
  Secure Linear Regression in the Semi-Honest Two-Party Setting.
  ☆39Updated 5 years ago
• csiro-mlai / deep-mpc
  ☆36Updated 3 months ago
• mc2-project / delphi
  A Cryptographic Inference Service for Neural Networks
  ☆127Updated 6 months ago
• OpenMined / sycret
  Function Secret Sharing library for Python and Rust with hardware acceleration (PETS '22)
  ☆54Updated last year
• dpcomp-org / dpcomp_core
  ☆43Updated 3 years ago