cgebest / kamino

Related projects: ⓘ

• opendp / smartnoise-sdk
  Tools and service for differentially private processing of tabular and relational data
  ☆244Updated last month
• dpcomp-org / dpcomp_core
  ☆42Updated 3 years ago
• hharcolezi / multi-freq-ldpy
  Multiple Frequency Estimation Under Local Differential Privacy in Python
  ☆41Updated last year
• opendp / smartnoise-core-python
  Python language bindings for smartnoise-core.
  ☆75Updated last year
• ektelo / ektelo
  ☆38Updated 2 years ago
• cmla-psu / statdp
  Statistical Counterexample Detector for Differential Privacy
  ☆28Updated 5 months ago
• IBM / discrete-gaussian-differential-privacy
  Code for Canonne-Kamath-Steinke paper https://arxiv.org/abs/2004.00010
  ☆59Updated 4 years ago
• ryan112358 / private-pgm
  An implementation of the tools described in the paper entitled "Graphical-model based estimation and inference for differential privacy"
  ☆88Updated 3 months ago
• microsoft / prv_accountant
  A fast algorithm to optimally compose privacy guarantees of differentially private (DP) mechanisms to arbitrary accuracy.
  ☆64Updated 7 months ago
• yuxiangw / autodp
  autodp: A flexible and easy-to-use package for differential privacy
  ☆260Updated 9 months ago
• bargavj / EvaluatingDPML
  This project's goal is to evaluate the privacy leakage of differentially private machine learning models.
  ☆129Updated last year
• BorjaBalle / analytic-gaussian-mechanism
  Analytic calibration for differential privacy with Gaussian perturbations
  ☆44Updated 5 years ago
• sommerda / privacybuckets
  A implementation of Privacy Buckets: A numerical tool to calculate privacy loss
  ☆11Updated 2 years ago
• mc2-project / secure-xgboost
  Secure collaborative training and inference for XGBoost.
  ☆105Updated last year
• opendp / opendp
  The core library of differential privacy algorithms powering the OpenDP Project.
  ☆313Updated this week
• spring-epfl / mia
  A library for running membership inference attacks against ML models
  ☆137Updated last year
• facebookresearch / Opacus-lab
  Research and experimental code related to Opacus, an open-source library for training PyTorch models with Differential Privacy
  ☆17Updated 2 months ago
• differentialprivacy / differentialprivacy
  Github pages backend for https://differentialprivacy.org
  ☆25Updated 3 months ago
• BorealisAI / private-data-generation
  A toolbox for differentially private data generation
  ☆127Updated last year
• OpenMined / SyMPC
  A SMPC companion library for Syft
  ☆98Updated last month
• schoppmp / linreg-mpc
  A Secure Multiparty Computation (MPC) protocol for computing linear regression on vertically distributed datasets.
  ☆31Updated 5 years ago
• sarus-tech / dp-xgboost
  ☆23Updated 8 months ago
• bargavj / distributedMachineLearning
  This work combines differential privacy and multi-party computation protocol to achieve distributed machine learning.
  ☆26Updated 3 years ago
• OpenMined / PyDP
  The Python Differential Privacy Library. Built on top of: https://github.com/google/differential-privacy
  ☆500Updated last week
• DPBayes / PLD-Accountant
  Code for computing tight guarantees for differential privacy
  ☆21Updated last year
• opendp / smartnoise-samples
  Code samples and documentation for SmartNoise differential privacy tools
  ☆132Updated 2 years ago
• vaikkunth / PrivacyFL
  A Simulator for Privacy Preserving Federated Learning
  ☆93Updated 3 years ago
• statice / anonymeter
  A Unified Framework for Quantifying Privacy Risk in Synthetic Data according to the GDPR
  ☆66Updated 2 months ago
• sunblaze-ucb / dpml-benchmark
  This repository contains the codes for first large-scale investigation of Differentially Private Convex Optimization algorithms.
  ☆63Updated 5 years ago
• spring-epfl / synthetic_data_release
  ☆39Updated last year