Alternatives and similar repositories for smartnoise-core-python

Users that are interested in smartnoise-core-python are comparing it to the libraries listed below

• opendp / smartnoise-samples
  Code samples and documentation for SmartNoise differential privacy tools
  ☆134Updated 3 years ago
• opendp / smartnoise-sdk
  Tools and service for differentially private processing of tabular and relational data
  ☆288Updated 4 months ago
• OpenMined / PipelineDP
  PipelineDP is a Python framework for applying differentially private aggregations to large datasets using batch processing systems such a…
  ☆283Updated 3 weeks ago
• OpenMined / PyDP
  The Python Differential Privacy Library. Built on top of: https://github.com/google/differential-privacy
  ☆543Updated last month
• opendp / smartnoise-core
  Differential privacy validator and runtime
  ☆292Updated 3 years ago
• opendp / opendp
  The core library of differential privacy algorithms powering the OpenDP Project.
  ☆401Updated this week
• awslabs / privacy-preserving-xgboost-inference
  Privacy-preserving XGBoost Inference
  ☆50Updated 2 years ago
• IBM / differential-privacy-library
  Diffprivlib: The IBM Differential Privacy Library
  ☆900Updated 3 months ago
• mc2-project / mc2
  A Platform for Secure Analytics and Machine Learning
  ☆305Updated 2 years ago
• microsoft / msrflute
  Federated Learning Utilities and Tools for Experimentation
  ☆193Updated last year
• OpenMined / SyMPC
  A SMPC companion library for Syft
  ☆105Updated 2 months ago
• tf-encrypted / tf-seal
  Bridge between TensorFlow and the Microsoft SEAL homomorphic encryption library
  ☆95Updated 5 years ago
• menisadi / awesome-differential-privacy
  list of differential-privacy related resources
  ☆318Updated 11 months ago
• mc2-project / secure-xgboost
  Secure collaborative training and inference for XGBoost.
  ☆107Updated 3 years ago
• qiyuangong / Mondrian
  Python Implementation for Mondrian Multidimensional K-Anonymity (Mondrian).
  ☆174Updated 2 years ago
• opendp / dpcreator
  Web application that makes data releases that satisfy differential privacy using the OpenDP Library
  ☆22Updated last year
• uber-archive / sql-differential-privacy
  Dataflow analysis & differential privacy for SQL queries. This project is deprecated and not maintained.
  ☆400Updated 6 years ago
• capeprivacy / cape-dataframes
  Privacy transformations on Spark and Pandas dataframes backed by a simple policy language.
  ☆175Updated 2 years ago
• trailofbits / PrivacyRaven
  Privacy Testing for Deep Learning
  ☆211Updated 3 months ago
• sarus-tech / dp-xgboost
  ☆24Updated last year
• ektelo / ektelo
  ☆38Updated 3 years ago
• OpenMined / PySyft-TensorFlow
  SOON TO BE DEPRECATED - The TensorFlow bindings for PySyft
  ☆56Updated 5 years ago
• mortendahl / awesome-ppml
  A curated list of resources for privacy-preserving machine learning
  ☆149Updated 4 years ago
• capeprivacy / tf-world-tutorial
  TensorFlow World 2019 Tutorial: Privacy-Preserving Machine Learning with TF Encrypted & PySyft
  ☆46Updated 2 years ago
• nesl / nist_differential_privacy_synthetic_data_challenge
  UCLANesl - NIST Differential Privacy Challenge (Match 3)
  ☆25Updated 6 years ago
• privacytrustlab / ml_privacy_meter
  Privacy Meter: An open-source library to audit data privacy in statistical and machine learning algorithms.
  ☆691Updated 8 months ago
• DPBayes / twinify
  A software package for privacy-preserving generation of a synthetic twin to a given sensitive data set.
  ☆56Updated last year
• mc2-project / federated-xgboost
  Federated gradient boosted decision tree learning
  ☆68Updated 2 years ago
• IBM / federated-learning-lib
  A library for federated learning (a distributed machine learning process) in an enterprise environment.
  ☆523Updated 3 months ago
• sunblaze-ucb / dpml-benchmark
  This repository contains the codes for first large-scale investigation of Differentially Private Convex Optimization algorithms.
  ☆63Updated 7 years ago