Alternatives and similar repositories for Clustering_based_K_Anon

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

• qiyuangong / Mondrian
  Python Implementation for Mondrian Multidimensional K-Anonymity (Mondrian).
  ☆174Updated last year
• Keinang / K-Anonymity
  K-Anonymity Simulator
  ☆15Updated 7 years ago
• qiyuangong / Basic_Mondrian
  The raw mondrian is designed for numerical attributes. When comes to categorical attributes, Mondrian needs to transform categorical attr…
  ☆35Updated 2 years ago
• steven7woo / Accuracy-First-Differential-Privacy
  Code for NIPS'2017 paper
  ☆50Updated 4 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
• dpcomp-org / dpcomp_core
  ☆43Updated 3 years ago
• LapisIT / differential_privacy
  QGIS differential privacy processing plugin
  ☆22Updated 9 years ago
• mbrg / differential-privacy
  Naive implementation of basic Differential-Privacy framework and algorithms
  ☆48Updated 2 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
• Billy1900 / Awesome-Differential-Privacy
  Differential private machine learning
  ☆193Updated 3 years ago
• Jun-Zhang-32108 / GFIM_LDP
  GFIM: An novel algorithm of frequent item mining with local differential privacy
  ☆12Updated 5 years ago
• prashmohan / GUPT
  A Privacy Preserving Data Mining Platform
  ☆46Updated 12 years ago
• forestneo / sunPytools
  Useful tools for differential privacy
  ☆216Updated 2 years ago
• BorjaBalle / analytic-gaussian-mechanism
  Analytic calibration for differential privacy with Gaussian perturbations
  ☆48Updated 6 years ago
• vvv214 / LDP_Protocols
  Sample LDP implementation in Python
  ☆127Updated last year
• haiphanNJIT / PrivateDeepLearning
  Differential Privacy Preservation in Deep Learning under Model Attacks
  ☆135Updated 4 years ago
• bargavj / EvaluatingDPML
  This project's goal is to evaluate the privacy leakage of differentially private machine learning models.
  ☆135Updated 2 years ago
• Nuclearstar / K-Anonymity
  Anonymization methods for network security.
  ☆158Updated 3 months ago
• menisadi / awesome-differential-privacy
  list of differential-privacy related resources
  ☆311Updated 4 months ago
• qiyuangong / Mondrian_L_Diversity
  Mondrian for L-diveristy. It's not available now.
  ☆19Updated 6 years ago
• yangcao888 / TPL
  Quantifying Differential Privacy under Temporal Correlations
  ☆12Updated 2 years ago
• qiyuangong / Top_Down_Greedy_Anonymization
  Top_Down_Greedy_Anonymization is a Top-down greedy algorithm data anonymization algorithm for relational dataset, proposed by Jian Xu in …
  ☆10Updated 9 years ago
• hlchengzi / 2019
  关于2019和2018年的一些东西
  ☆28Updated 5 years ago
• yangcao888 / ConTPL
  ConTPL: Controlling Temporal Privacy Leakage in Streaming Data Release with Differential Privacy
  ☆10Updated 6 years ago
• vaikkunth / PrivacyFL
  A Simulator for Privacy Preserving Federated Learning
  ☆94Updated 4 years ago
• hharcolezi / multi-freq-ldpy
  Multiple Frequency Estimation Under Local Differential Privacy in Python
  ☆48Updated last year
• 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
• git-disl / CLDP
  Secure and utility-aware data collection with condensed local differential privacy
  ☆17Updated 5 years ago
• yuxiangw / autodp
  autodp: A flexible and easy-to-use package for differential privacy
  ☆274Updated last year
• illidanlab / dpgan
  Source code of paper "Differentially Private Generative Adversarial Network"
  ☆70Updated 6 years ago