opendp / smartnoise-samples

Related projects ⓘ

Alternatives and complementary repositories for smartnoise-samples

• opendp / smartnoise-core-python
  Python language bindings for smartnoise-core.
  ☆75Updated last year
• opendp / smartnoise-sdk
  Tools and service for differentially private processing of tabular and relational data
  ☆254Updated 3 months ago
• opendp / smartnoise-core
  Differential privacy validator and runtime
  ☆290Updated 2 years ago
• opendp / opendp
  The core library of differential privacy algorithms powering the OpenDP Project.
  ☆329Updated this week
• OpenMined / PipelineDP
  PipelineDP is a Python framework for applying differentially private aggregations to large datasets using batch processing systems such a…
  ☆276Updated last month
• microsoft / synthetic-data-showcase
  Generates synthetic data and user interfaces for privacy-preserving data sharing and analysis.
  ☆114Updated 7 months ago
• OpenMined / PyDP
  The Python Differential Privacy Library. Built on top of: https://github.com/google/differential-privacy
  ☆508Updated 2 months ago
• ektelo / ektelo
  ☆38Updated 2 years ago
• opendp / dpcreator
  Web application that makes data releases that satisfy differential privacy using the OpenDP Library
  ☆20Updated 3 months ago
• awslabs / privacy-preserving-xgboost-inference
  Privacy-preserving XGBoost Inference
  ☆48Updated last year
• sunblaze-ucb / dpml-benchmark
  This repository contains the codes for first large-scale investigation of Differentially Private Convex Optimization algorithms.
  ☆63Updated 6 years ago
• ryan112358 / private-pgm
  An implementation of the tools described in the paper entitled "Graphical-model based estimation and inference for differential privacy"
  ☆93Updated this week
• BorealisAI / private-data-generation
  A toolbox for differentially private data generation
  ☆129Updated last year
• IBM / ai-privacy-toolkit
  A toolkit for tools and techniques related to the privacy and compliance of AI models.
  ☆96Updated 4 months ago
• opendifferentialprivacy / opendifferentialprivacy.github.io
  ☆10Updated 3 years ago
• sarus-tech / dp-xgboost
  ☆23Updated 10 months ago
• dpcomp-org / dpcomp_core
  ☆43Updated 3 years ago
• mc2-project / mc2
  A Platform for Secure Analytics and Machine Learning
  ☆299Updated last year
• alan-turing-institute / tapas
  ☆32Updated last year
• usnistgov / SDNist
  SDNist: Benchmark data and evaluation tools for data synthesizers.
  ☆31Updated 5 months ago
• nesl / nist_differential_privacy_synthetic_data_challenge
  UCLANesl - NIST Differential Privacy Challenge (Match 3)
  ☆23Updated 5 years ago
• statice / anonymeter
  A Unified Framework for Quantifying Privacy Risk in Synthetic Data according to the GDPR
  ☆72Updated 4 months ago
• spring-epfl / synthetic_data_release
  ☆39Updated last year
• IBM / differential-privacy-library
  Diffprivlib: The IBM Differential Privacy Library
  ☆829Updated last month
• capeprivacy / cape-dataframes
  Privacy transformations on Spark and Pandas dataframes backed by a simple policy language.
  ☆173Updated last year
• IBM / discrete-gaussian-differential-privacy
  Code for Canonne-Kamath-Steinke paper https://arxiv.org/abs/2004.00010
  ☆59Updated 4 years ago
• menisadi / awesome-differential-privacy
  list of differential-privacy related resources
  ☆297Updated last week
• qiyuangong / Mondrian
  Python Implementation for Mondrian Multidimensional K-Anonymity (Mondrian).
  ☆170Updated 11 months ago
• microsoft / msrflute
  Federated Learning Utilities and Tools for Experimentation
  ☆185Updated 10 months ago