myd1's Stars
logpai/loglizer
A machine learning toolkit for log-based anomaly detection [ISSRE'16]
dangsh/hive
lots of spider (很多爬虫)
steven7woo/Accuracy-First-Differential-Privacy
Code for NIPS'2017 paper
ColoradoSchoolOfMines/blockmrs
BlockMRS is a privacy concious, decentralized, blockchain-backed, medical record system for the 21st Century. It stores patient records in IPFS using state-of-the art asymetric encryption giving patients control over their health data.
qiyuangong/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.
qiyuangong/Clustering_based_K_Anon
cluster based generalization for k-anonymity
wasiahmad/aol_query_log_analysis
This project aims to analyze different aspects of the AOL query log
thanghoang/S3ORAM
Implementation of S3ORAM (CCS'17 & ACM TOPS'20)
StefJanssen/AATOM
AATOM - An Agent-based Airport Terminal Operations Simulator
qiyuangong/Apriori_based_Anonymization
This repository is an python implement of Apriori_based_Anonymization for set-valued dataset anonymization.
qiyuangong/SEU_Web_Login
This program is a python implement for CLI (command-line interface) web login in Southeast University (China).
ihieofjajrgua/TreeGenerator
根据文本文件生成一棵多叉树的图片
aWarmWalrus/ORAM
emigrantMuse/MiniORAM
myd1/AATOM
AATOM - An Agent-based Airport Terminal Operations Simulator
myd1/Anatomize
This repository is an open source python implement for Anatomy. I implement this algorithm in python for further study.
myd1/aol_query_log_analysis
This project aims to analyze different aspects of the AOL query log
myd1/Apriori_based_Anonymization
This repository is an python implement of Apriori_based_Anonymization for set-valued dataset anonymization.
myd1/arx
ARX is a comprehensive open source data anonymization tool that has been designed from the ground up to provide high scalability and ease of use. It supports risk-based anonymization, methods for analyzing data quality and re-identification risks, as well as privacy models, such as k-anonymity, l-diversity, t-closeness and differential privacy
myd1/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.
myd1/Mondrian_L_Diversity
Mondrian for L-diveristy. It's not available now.
myd1/Privacy-protection-mechanism
myd1/Shamir-s-Secret-Sharing
Shamir's Secret Sharing is an algorithm in cryptography created by Adi Shamir. It is a form of secret sharing, where a secret is divided into parts, giving each participant its own unique part, where some of the parts or all of them are needed in order to reconstruct the secret. Counting on all participants to combine the secret might be impractical, and therefore sometimes the threshold scheme is used where any {\displaystyle k} k of the parts are sufficient to reconstruct the original secret.
qiyuangong/arx
ARX is a comprehensive open source data anonymization tool that has been designed from the ground up to provide high scalability and ease of use. It supports risk-based anonymization, methods for analyzing data quality and re-identification risks, as well as privacy models, such as k-anonymity, l-diversity, t-closeness and differential privacy
RohitJacob/AOL-Exploratory-Analysis
The goal of this collection is to analyze real query log data that is based on real users and gain insightful results on the AOL search engine