Alternatives and similar repositories for k-anonymity

Users that are interested in k-anonymity are comparing it to the libraries listed below

• Nuclearstar / K-Anonymity
  Anonymization methods for network security.
  ☆160Updated 6 months ago
• OpenMined / PyDP
  The Python Differential Privacy Library. Built on top of: https://github.com/google/differential-privacy
  ☆532Updated last year
• privacytrustlab / ml_privacy_meter
  Privacy Meter: An open-source library to audit data privacy in statistical and machine learning algorithms.
  ☆678Updated 4 months ago
• 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.
  ☆76Updated 2 years ago
• uvm-plaid / programming-dp
  ☆319Updated 2 months ago
• opendp / smartnoise-sdk
  Tools and service for differentially private processing of tabular and relational data
  ☆280Updated last month
• ryan112358 / mbi
  A library providing general-purpose tools for estimating discrete distributions from noisy observations of their marginals.
  ☆106Updated this week
• Billy1900 / Awesome-Differential-Privacy
  Differential private machine learning
  ☆195Updated 3 years ago
• menisadi / awesome-differential-privacy
  list of differential-privacy related resources
  ☆315Updated 8 months ago
• fhstp / k-AnonML
  ☆20Updated last year
• vvv214 / LDP_Protocols
  Sample LDP implementation in Python
  ☆129Updated 2 years ago
• ganevgv / dp-generative-models
  Differentially Private (tabular) Generative Models Papers with Code
  ☆52Updated last year
• IBM / differential-privacy-library
  Diffprivlib: The IBM Differential Privacy Library
  ☆887Updated this week
• alan-turing-institute / tapas
  ☆36Updated 2 years ago
• OpenMined / PyVertical
  Privacy Preserving Vertical Federated Learning
  ☆218Updated 2 years ago
• hharcolezi / ldp-protocols-mobility-cdrs
  Implementation of local differential privacy mechanisms in Python language.
  ☆29Updated 3 years ago
• Yangfan-Jiang / Federated-Learning-with-Differential-Privacy
  Implementation of dp-based federated learning framework using PyTorch
  ☆307Updated 2 years ago
• Privacy-Graph / PrivGraph
  Implementation of "PrivGraph: Differentially Private Graph Data Publication by Exploiting Community Information"
  ☆13Updated 2 years ago
• hharcolezi / multi-freq-ldpy
  Multiple Frequency Estimation Under Local Differential Privacy in Python
  ☆49Updated 2 years ago
• opendp / opendp
  The core library of differential privacy algorithms powering the OpenDP Project.
  ☆379Updated this week
• caicre / PrivMRF
  An implementation of "Data Synthesis via Differentially Private Markov Random Fields"
  ☆13Updated last year
• dpcomp-org / dpcomp_core
  ☆43Updated 4 years ago
• statice / anonymeter
  A Unified Framework for Quantifying Privacy Risk in Synthetic Data according to the GDPR
  ☆92Updated 2 months ago
• nusdbsystem / pivot
  Privacy preserving vertical federated learning for tree-based models
  ☆28Updated 3 years ago
• ivishalanand / Federated-Learning-on-Hospital-Data
  A Federated Learning implementation to diagnose 2 acute inflammations of bladder.. This medical dataset truly needs privacy! Because we c…
  ☆39Updated 5 years ago
• forestneo / sunPytools
  Useful tools for differential privacy
  ☆217Updated 3 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
• Koukyosyumei / AIJack
  Security and Privacy Risk Simulator for Machine Learning (arXiv:2312.17667)
  ☆409Updated this week
• BorjaBalle / analytic-gaussian-mechanism
  Analytic calibration for differential privacy with Gaussian perturbations
  ☆49Updated 6 years ago
• mc2-project / federated-xgboost
  Federated gradient boosted decision tree learning
  ☆68Updated 2 years ago