Alternatives and similar repositories for K-Anonymity

Users that are interested in K-Anonymity are comparing it to the libraries listed below

• qiyuangong / Mondrian
  Python Implementation for Mondrian Multidimensional K-Anonymity (Mondrian).
  ☆175Updated 2 years ago
• IBM / differential-privacy-library
  Diffprivlib: The IBM Differential Privacy Library
  ☆902Updated 4 months ago
• OpenMined / PyDP
  The Python Differential Privacy Library. Built on top of: https://github.com/google/differential-privacy
  ☆541Updated 2 months ago
• opendp / smartnoise-sdk
  Tools and service for differentially private processing of tabular and relational data
  ☆291Updated 5 months ago
• menisadi / awesome-differential-privacy
  list of differential-privacy related resources
  ☆323Updated last year
• Samuel-Maddock / pure-LDP
  Python package for simple implementations of state-of-the-art LDP frequency estimation algorithms. Contains code for our VLDB 2021 Paper.
  ☆78Updated 2 months 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
• uvm-plaid / programming-dp
  ☆334Updated last month
• Billy1900 / Awesome-Differential-Privacy
  Differential private machine learning
  ☆199Updated 3 years ago
• dpcomp-org / dpcomp_core
  ☆45Updated 4 years ago
• kaylode / k-anonymity
  Evaluating variety of k-Anonymity techniques.
  ☆55Updated 2 years ago
• ryan112358 / mbi
  A library providing general-purpose tools for estimating discrete distributions from noisy observations of their marginals.
  ☆110Updated 2 weeks ago
• LapisIT / differential_privacy
  QGIS differential privacy processing plugin
  ☆23Updated 9 years ago
• llgeek / K-anonymity-and-Differential-Privacy
  Implementation of DataFly for K-anonymity, and implemented Laplace Mechanism and Exponential Mechanism for Differential Privacy
  ☆40Updated 6 years ago
• opendp / opendp
  The core library of differential privacy algorithms powering the OpenDP Project.
  ☆403Updated this week
• vvv214 / LDP_Protocols
  Sample LDP implementation in Python
  ☆128Updated 2 years ago
• vaikkunth / PrivacyFL
  A Simulator for Privacy Preserving Federated Learning
  ☆96Updated 5 years ago
• mc2-project / federated-xgboost
  Federated gradient boosted decision tree learning
  ☆68Updated 2 years ago
• FebriantiW / Homomorphic-Encryption-and-Federated-Learning-based-Privacy-Preserving-CNN-Training-
  Medical data is often highly sensitive in terms of data privacy and security concerns. Federated learning, one type of machine learn- ing…
  ☆24Updated 3 years ago
• nesl / nist_differential_privacy_synthetic_data_challenge
  UCLANesl - NIST Differential Privacy Challenge (Match 3)
  ☆25Updated 6 years ago
• mbrg / differential-privacy
  Naive implementation of basic Differential-Privacy framework and algorithms
  ☆48Updated 3 years ago
• hharcolezi / multi-freq-ldpy
  Multiple Frequency Estimation Under Local Differential Privacy in Python
  ☆49Updated 2 years ago
• stratosphereips / awesome-ml-privacy-attacks
  An awesome list of papers on privacy attacks against machine learning
  ☆634Updated last year
• OpenMined / PyVertical
  Privacy Preserving Vertical Federated Learning
  ☆222Updated 2 years ago
• haiphanNJIT / PrivateDeepLearning
  Differential Privacy Preservation in Deep Learning under Model Attacks
  ☆135Updated 4 years ago
• yuxiangw / autodp
  autodp: A flexible and easy-to-use package for differential privacy
  ☆278Updated 2 years ago
• hharcolezi / ldp-protocols-mobility-cdrs
  Implementation of local differential privacy mechanisms in Python language.
  ☆29Updated 3 years ago
• BorjaBalle / analytic-gaussian-mechanism
  Analytic calibration for differential privacy with Gaussian perturbations
  ☆51Updated 7 years ago
• bargavj / EvaluatingDPML
  This project's goal is to evaluate the privacy leakage of differentially private machine learning models.
  ☆135Updated 3 years ago
• opendifferentialprivacy / opendifferentialprivacy.github.io
  ☆10Updated 4 years ago