Alternatives and similar repositories for diffpriv:

Users that are interested in diffpriv are comparing it to the libraries listed below

• ektelo / ektelo
  ☆38Updated 2 years ago
• dpcomp-org / dpcomp_core
  ☆43Updated 3 years ago
• mrtzh / PrivateMultiplicativeWeights.jl
  Differentially private synthetic data
  ☆46Updated 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"
  ☆98Updated last week
• uscensusbureau / census2020-das-e2e
  Disclosure Avoidance System for the 2020 Census, End-to-End release
  ☆36Updated 5 years ago
• spring-epfl / synthetic_data_release
  ☆39Updated 2 years ago
• opendp / opendp
  The core library of differential privacy algorithms powering the OpenDP Project.
  ☆343Updated this week
• mc2-project / federated-xgboost
  Federated gradient boosted decision tree learning
  ☆69Updated last year
• sdcTools / sdcMicro
  sdcMicro
  ☆83Updated this week
• LapisIT / differential_privacy
  QGIS differential privacy processing plugin
  ☆22Updated 8 years ago
• uber-archive / sql-differential-privacy
  Dataflow analysis & differential privacy for SQL queries. This project is deprecated and not maintained.
  ☆397Updated 5 years ago
• cmla-psu / statdp
  Statistical Counterexample Detector for Differential Privacy
  ☆28Updated 10 months ago
• IBM / discrete-gaussian-differential-privacy
  Code for Canonne-Kamath-Steinke paper https://arxiv.org/abs/2004.00010
  ☆59Updated 4 years ago
• prashmohan / GUPT
  A Privacy Preserving Data Mining Platform
  ☆46Updated 12 years ago
• awslabs / privacy-preserving-xgboost-inference
  Privacy-preserving XGBoost Inference
  ☆48Updated last year
• bargavj / distributedMachineLearning
  This work combines differential privacy and multi-party computation protocol to achieve distributed machine learning.
  ☆26Updated 4 years ago
• bargavj / EvaluatingDPML
  This project's goal is to evaluate the privacy leakage of differentially private machine learning models.
  ☆130Updated 2 years ago
• jnear / cs211-data-privacy
  ☆44Updated 2 years ago
• opendp / smartnoise-samples
  Code samples and documentation for SmartNoise differential privacy tools
  ☆132Updated 2 years ago
• alan-turing-institute / tapas
  ☆35Updated last year
• umadesai / census-dp
  Disclosure Avoidance Repository
  ☆14Updated 5 years ago
• differentialprivacy / differentialprivacy
  Github pages backend for https://differentialprivacy.org
  ☆25Updated 8 months ago
• menisadi / awesome-differential-privacy
  list of differential-privacy related resources
  ☆307Updated last month
• BorjaBalle / analytic-gaussian-mechanism
  Analytic calibration for differential privacy with Gaussian perturbations
  ☆46Updated 6 years ago
• opendp / smartnoise-core
  Differential privacy validator and runtime
  ☆289Updated 3 years ago
• greenelab / SPRINT_gan
  Privacy-preserving generative deep neural networks support clinical data sharing
  ☆104Updated 5 years ago
• mortendahl / awesome-ppml
  A curated list of resources for privacy-preserving machine learning
  ☆148Updated 3 years ago
• qiyuangong / Mondrian
  Python Implementation for Mondrian Multidimensional K-Anonymity (Mondrian).
  ☆170Updated last year
• schoppmp / linreg-mpc
  A Secure Multiparty Computation (MPC) protocol for computing linear regression on vertically distributed datasets.
  ☆32Updated 5 years ago
• yuxiangw / autodp
  autodp: A flexible and easy-to-use package for differential privacy
  ☆269Updated last year