Alternatives and similar repositories for dp-xgboost

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

• awslabs / privacy-preserving-xgboost-inference
  Privacy-preserving XGBoost Inference
  ☆50Updated 2 years ago
• yuxiangw / autodp
  autodp: A flexible and easy-to-use package for differential privacy
  ☆278Updated 2 years ago
• microsoft / prv_accountant
  A fast algorithm to optimally compose privacy guarantees of differentially private (DP) mechanisms to arbitrary accuracy.
  ☆76Updated last year
• microsoft / msrflute
  Federated Learning Utilities and Tools for Experimentation
  ☆193Updated 2 years ago
• google-research / DP-FTRL
  DP-FTRL from "Practical and Private (Deep) Learning without Sampling or Shuffling" for centralized training.
  ☆35Updated 8 months ago
• BorealisAI / private-data-generation
  A toolbox for differentially private data generation
  ☆130Updated 2 years ago
• mc2-project / secure-xgboost
  Secure collaborative training and inference for XGBoost.
  ☆107Updated 3 years ago
• vaikkunth / PrivacyFL
  A Simulator for Privacy Preserving Federated Learning
  ☆96Updated 5 years ago
• spring-epfl / synthetic_data_release
  ☆41Updated 3 years ago
• spring-epfl / mia
  A library for running membership inference attacks against ML models
  ☆152Updated 3 years ago
• bargavj / EvaluatingDPML
  This project's goal is to evaluate the privacy leakage of differentially private machine learning models.
  ☆135Updated 3 years ago
• mc2-project / federated-xgboost
  Federated gradient boosted decision tree learning
  ☆68Updated 2 years ago
• awslabs / fast-differential-privacy
  Fast, memory-efficient, scalable optimization of deep learning with differential privacy
  ☆138Updated last week
• ryan112358 / mbi
  A library providing general-purpose tools for estimating discrete distributions from noisy observations of their marginals.
  ☆110Updated this week
• sunblaze-ucb / dpml-benchmark
  This repository contains the codes for first large-scale investigation of Differentially Private Convex Optimization algorithms.
  ☆62Updated 7 years ago
• ebagdasa / differential-privacy-vs-fairness
  Code for "Differential Privacy Has Disparate Impact on Model Accuracy" NeurIPS'19
  ☆33Updated 4 years ago
• google-deepmind / jax_privacy
  Algorithms for Privacy-Preserving Machine Learning in JAX
  ☆146Updated last week
• opendp / smartnoise-sdk
  Tools and service for differentially private processing of tabular and relational data
  ☆291Updated 5 months ago
• OpenMined / PyDP
  The Python Differential Privacy Library. Built on top of: https://github.com/google/differential-privacy
  ☆541Updated 2 months ago
• OpenMined / PyVertical
  Privacy Preserving Vertical Federated Learning
  ☆222Updated 2 years ago
• ftramer / Handcrafted-DP
  ☆80Updated 3 years ago
• IBM / discrete-gaussian-differential-privacy
  Code for Canonne-Kamath-Steinke paper https://arxiv.org/abs/2004.00010
  ☆63Updated 5 years ago
• opendp / smartnoise-core-python
  Python language bindings for smartnoise-core.
  ☆76Updated 2 years ago
• lxuechen / private-transformers
  A codebase that makes differentially private training of transformers easy.
  ☆182Updated 3 years ago
• BorjaBalle / analytic-gaussian-mechanism
  Analytic calibration for differential privacy with Gaussian perturbations
  ☆51Updated 7 years ago
• ektelo / ektelo
  ☆38Updated 3 years ago
• privacytrustlab / ml_privacy_meter
  Privacy Meter: An open-source library to audit data privacy in statistical and machine learning algorithms.
  ☆697Updated 9 months ago
• google / fedjax
  FedJAX is a JAX-based open source library for Federated Learning simulations that emphasizes ease-of-use in research.
  ☆269Updated last week
• dpcomp-org / dpcomp_core
  ☆45Updated 4 years ago
• pps-lab / rofl-project-code
  ☆37Updated last month