Nuclearstar / K-Anonymity

Related projects: ⓘ

• qiyuangong / Mondrian
  Python Implementation for Mondrian Multidimensional K-Anonymity (Mondrian).
  ☆168Updated 9 months ago
• kaylode / k-anonymity
  Evaluating variety of k-Anonymity techniques.
  ☆53Updated 11 months ago
• llgeek / K-anonymity-and-Differential-Privacy
  Implementation of DataFly for K-anonymity, and implemented Laplace Mechanism and Exponential Mechanism for Differential Privacy
  ☆37Updated 5 years ago
• fhstp / k-AnonML
  ☆16Updated 10 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.
  ☆71Updated last year
• vvv214 / LDP_Protocols
  Sample LDP implementation in Python
  ☆113Updated last year
• uvm-plaid / programming-dp
  ☆283Updated 2 months ago
• OpenMined / PyDP
  The Python Differential Privacy Library. Built on top of: https://github.com/google/differential-privacy
  ☆500Updated last week
• qiyuangong / Mondrian_L_Diversity
  Mondrian for L-diveristy. It's not available now.
  ☆18Updated 5 years ago
• menisadi / awesome-differential-privacy
  list of differential-privacy related resources
  ☆279Updated 5 months ago
• Billy1900 / Awesome-Differential-Privacy
  Differential private machine learning
  ☆177Updated 2 years ago
• forestneo / sunPytools
  Useful tools for differential privacy
  ☆213Updated 2 years ago
• hharcolezi / ldp-protocols-mobility-cdrs
  Implementation of local differential privacy mechanisms in Python language.
  ☆27Updated 2 years ago
• hharcolezi / multi-freq-ldpy
  Multiple Frequency Estimation Under Local Differential Privacy in Python
  ☆41Updated last year
• LapisIT / differential_privacy
  QGIS differential privacy processing plugin
  ☆22Updated 8 years ago
• dpcomp-org / dpcomp_core
  ☆42Updated 3 years ago
• bargavj / EvaluatingDPML
  This project's goal is to evaluate the privacy leakage of differentially private machine learning models.
  ☆129Updated last year
• ryan112358 / private-pgm
  An implementation of the tools described in the paper entitled "Graphical-model based estimation and inference for differential privacy"
  ☆88Updated 3 months ago
• yangcao88 / ConTPL
  ConTPL: Controlling Temporal Privacy Leakage in Streaming Data Release with Differential Privacy
  ☆10Updated 6 years ago
• haiphanNJIT / PrivateDeepLearning
  Differential Privacy Preservation in Deep Learning under Model Attacks
  ☆131Updated 3 years ago
• BorjaBalle / analytic-gaussian-mechanism
  Analytic calibration for differential privacy with Gaussian perturbations
  ☆44Updated 5 years ago
• yangcao88 / TPL
  Quantifying Differential Privacy under Temporal Correlations
  ☆12Updated last year
• mbrg / differential-privacy
  Naive implementation of basic Differential-Privacy framework and algorithms
  ☆46Updated 2 years ago
• spring-epfl / mia
  A library for running membership inference attacks against ML models
  ☆137Updated last year
• yuxiangw / autodp
  autodp: A flexible and easy-to-use package for differential privacy
  ☆260Updated 9 months ago
• qiyuangong / Basic_Mondrian
  The raw mondrian is designed for numerical attributes. When comes to categorical attributes, Mondrian needs to transform categorical attr…
  ☆32Updated last year
• vaikkunth / PrivacyFL
  A Simulator for Privacy Preserving Federated Learning
  ☆93Updated 3 years ago
• fricklerhandwerk / differential-privacy
  Accompanying source code to my Bachelor's thesis at TUHH
  ☆11Updated 6 years ago
• hlchengzi / 2019
  关于2019和2018年的一些东西
  ☆29Updated 4 years ago
• git-disl / CLDP
  Secure and utility-aware data collection with condensed local differential privacy
  ☆16Updated 4 years ago