Alternatives and similar repositories for Mondrian_L_Diversity:

Users that are interested in Mondrian_L_Diversity are comparing it to the libraries listed below

• qiyuangong / Basic_Mondrian
  The raw mondrian is designed for numerical attributes. When comes to categorical attributes, Mondrian needs to transform categorical attr…
  ☆35Updated last year
• qiyuangong / Mondrian
  Python Implementation for Mondrian Multidimensional K-Anonymity (Mondrian).
  ☆171Updated last year
• Nuclearstar / K-Anonymity
  Anonymization methods for network security.
  ☆155Updated last week
• llgeek / K-anonymity-and-Differential-Privacy
  Implementation of DataFly for K-anonymity, and implemented Laplace Mechanism and Exponential Mechanism for Differential Privacy
  ☆39Updated 6 years ago
• qiyuangong / Clustering_based_K_Anon
  cluster based generalization for k-anonymity
  ☆29Updated 5 years ago
• fhstp / k-AnonML
  ☆20Updated last year
• zhhiyuan / K-Anonymity
  k匿名
  ☆18Updated 3 years ago
• menisadi / awesome-differential-privacy
  list of differential-privacy related resources
  ☆307Updated 2 months ago
• vvv214 / LDP_Protocols
  Sample LDP implementation in Python
  ☆124Updated last year
• kaylode / k-anonymity
  Evaluating variety of k-Anonymity techniques.
  ☆54Updated last year
• dpcomp-org / dpcomp_core
  ☆43Updated 3 years ago
• forestneo / sunPytools
  Useful tools for differential privacy
  ☆215Updated 2 years ago
• dp-cont / dp-cont
  ☆14Updated 3 weeks ago
• hlchengzi / 2019
  关于2019和2018年的一些东西
  ☆28Updated 5 years 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.
  ☆74Updated last year
• bargavj / EvaluatingDPML
  This project's goal is to evaluate the privacy leakage of differentially private machine learning models.
  ☆131Updated 2 years ago
• mbrg / differential-privacy
  Naive implementation of basic Differential-Privacy framework and algorithms
  ☆47Updated 2 years ago
• ryan112358 / private-pgm
  An implementation of the tools described in the paper entitled "Graphical-model based estimation and inference for differential privacy"
  ☆100Updated last week
• Billy1900 / Awesome-Differential-Privacy
  Differential private machine learning
  ☆190Updated 3 years ago
• yangcao888 / ConTPL
  ConTPL: Controlling Temporal Privacy Leakage in Streaming Data Release with Differential Privacy
  ☆10Updated 6 years ago
• spring-epfl / mia
  A library for running membership inference attacks against ML models
  ☆142Updated 2 years ago
• caicre / PrivMRF
  An implementation of "Data Synthesis via Differentially Private Markov Random Fields"
  ☆13Updated 11 months ago
• Shubha23 / Laplace-and-Exponential-mechanisms-for-privacy
  Applying Laplace and exponential mechanisms to add random noise to data for differential privacy. Plotting MSE vs. epsilon.
  ☆29Updated 4 years ago
• hharcolezi / multi-freq-ldpy
  Multiple Frequency Estimation Under Local Differential Privacy in Python
  ☆47Updated last year
• HectorHou / Location-Privacy-Protection
  Location Privacy Protection System Based on K-Anonymous
  ☆24Updated 7 years ago
• git-disl / AdaTrace
  Utility-aware synthesis of differentially private and attack-resilient location traces
  ☆24Updated 6 years ago
• lijucheng809 / PrivBayes
  建立基于差分隐私的贝叶斯网络，使得结构化数据同时兼备隐私性与效用性
  ☆27Updated 4 years ago
• hharcolezi / ldp-protocols-mobility-cdrs
  Implementation of local differential privacy mechanisms in Python language.
  ☆28Updated 2 years ago
• steven7woo / Accuracy-First-Differential-Privacy
  Code for NIPS'2017 paper
  ☆50Updated 4 years ago
• Chen-Junbao / SecureAggregation
  personal implementation of secure aggregation protocol
  ☆43Updated last year