qiyuangong / MondrianLinks
Python Implementation for Mondrian Multidimensional K-Anonymity (Mondrian).
☆174Updated last year
Alternatives and similar repositories for Mondrian
Users that are interested in Mondrian are comparing it to the libraries listed below
Sorting:
- cluster based generalization for k-anonymity☆29Updated 6 years ago
- The raw mondrian is designed for numerical attributes. When comes to categorical attributes, Mondrian needs to transform categorical attr…☆35Updated 2 years ago
- Anonymization methods for network security.☆158Updated 3 months ago
- ☆20Updated last year
- Mondrian for L-diveristy. It's not available now.☆19Updated 6 years ago
- ☆43Updated 3 years ago
- Implementation of DataFly for K-anonymity, and implemented Laplace Mechanism and Exponential Mechanism for Differential Privacy☆40Updated 6 years ago
- QGIS differential privacy processing plugin☆22Updated 9 years ago
- Tools and service for differentially private processing of tabular and relational data☆267Updated 4 months ago
- Naive implementation of basic Differential-Privacy framework and algorithms☆48Updated 2 years ago
- K-Anonymity Simulator☆15Updated 7 years ago
- Python package for simple implementations of state-of-the-art LDP frequency estimation algorithms. Contains code for our VLDB 2021 Paper.☆74Updated last year
- A Privacy Preserving Data Mining Platform☆46Updated 12 years ago
- 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
- Code samples and documentation for SmartNoise differential privacy tools☆133Updated 2 years ago
- Python language bindings for smartnoise-core.☆76Updated 2 years ago
- list of differential-privacy related resources☆311Updated 4 months ago
- Code for NIPS'2017 paper☆50Updated 4 years ago
- ARX is a comprehensive open source data anonymization tool aiming to provide scalability and usability. It supports various anonymization…☆657Updated 5 months ago
- Sample LDP implementation in Python☆127Updated last year
- Evaluating variety of k-Anonymity techniques.☆54Updated last year
- Federated gradient boosted decision tree learning☆68Updated 2 years ago
- The Python Differential Privacy Library. Built on top of: https://github.com/google/differential-privacy☆522Updated 8 months ago
- Privacy-preserving XGBoost Inference☆49Updated 2 years ago
- This work combines differential privacy and multi-party computation protocol to achieve distributed machine learning.☆26Updated 4 years ago
- ☆38Updated 2 years ago
- This repository contains the codes for first large-scale investigation of Differentially Private Convex Optimization algorithms.☆64Updated 6 years ago
- This project's goal is to evaluate the privacy leakage of differentially private machine learning models.☆135Updated 2 years ago
- ☆267Updated last year
- Diffprivlib: The IBM Differential Privacy Library☆868Updated 3 weeks ago