qiyuangong/Clustering_based_K_Anon

This repository has been archived on 30/Nov/2023
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Created over 10 years ago
Updated over 5 years ago

qiyuangong/Clustering_based_K_Anon

qiyuangong

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cluster based generalization for k-anonymity

leetcode

Python & JAVA Solutions for Leetcode

How_to_Search_and_Read_a_Paper

本文档适合于刚入学的硕士和博士(计算机专业最好，其他专业可参考)。

Mondrian

Python Implementation for Mondrian Multidimensional K-Anonymity (Mondrian).

Basic_Mondrian

The raw mondrian is designed for numerical attributes. When comes to categorical attributes, Mondrian needs to transform categorical attributes to numerical ones. This transformations is not good for some applications. In 2006, LeFevre proposed basic Mondrian, which support both categorical and numerical attributes. This repository is an implementation for basic Mondrian.

Deep_Learning_Exercise

Deep Learning Exercise and Notebook

Jupyter Notebook

Mondrian_L_Diversity

Mondrian for L-diveristy. It's not available now.

image_classification_redis

Image Classification based on Analytics-Zoo and Redis

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 his papers.

Google_APAC

My solution for Google APAC

Python_Blind_Image_Watermarking

A simple implement Blind_Image_watermark with Python.

Apriori_based_Anonymization

This repository is an python implement of Apriori_based_Anonymization for set-valued dataset anonymization.

analyzing_weibo_data_with_spark

try to analyzing weibo data with Spark

SEU_Web_Login

This program is a python implement for CLI (command-line interface) web login in Southeast University (China).

Zoo_Benchmark

Relational_Transaction_Anon

This repository is an python implement of Relation and Transaction Anonymization for Relational and Transaction dataset anonymization.

Semi_Partition

Semi_Partition is a Top-down greedy algorithm data anonymization algorithm for relational dataset. It's more efficient than Mondrian, which is proposed by Kristen LeFevre in his papers.

PAA

Partition and Anatomize Anonymization

Partition_for_Transaction

This repository is an open source python implement for Partition_for_Transaction. I implement this algorithm in python for further study.

ChatGPT-Web

NEC_based_Anonymization

EC based Anonymization. Improve efficiency without increasing information loss.

1M_Generalization

1M_Generalization is a simple anonymization algorithm for 1:M dataset. It contains two sub-algorithms: Mondrian (for relational part) and Partition (transaction part). Both of them are straight forward, and can be repalced by more powerful algorithm with limtied modification.