qiyuangong Goto Github PK
Name: Qiyuan Gong
Type: User
Company: Intel
Bio: Ph.D / Southeast University / Privacy Preserving Machine Learning/ Deep Learning / Big Data / LLM
Location: China, Shanghai
Name: Qiyuan Gong
Type: User
Company: Intel
Bio: Ph.D / Southeast University / Privacy Preserving Machine Learning/ Deep Learning / Big Data / LLM
Location: China, Shanghai
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.
Algorithms Princeton exercises
Alluxio, formerly Tachyon, Unify Data at Memory Speed
Distributed Tensorflow, Keras and BigDL on Apache Spark
try to analyzing weibo data with Spark
This repository is an open source python implement for Anatomy. I implement this algorithm in python for further study.
Anatomize and Partition Anonymization
This repository is an python implement of Apriori_based_Anonymization for set-valued dataset anonymization.
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
OpenVINO auto_optimization
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.
Core HW bindings and optimizations for BigDL
cluster based generalization for k-anonymity
Confidential Computing Zoo provides confidential computing solutions based on Intel SGX, TDX, HEXL, etc. technologies.
Repo of Azure Kubernetes service based sample implementations leveraging Azure Confidential Computing Nodes.
CS234: Reinforcement Learning Winter 2019
A simple Cython example
Deep Learning Exercise and Notebook
Enhanced_Mondrian for incomplete microdata
An Industrial Grade Federated Learning Framework
My solution for Google APAC
Graphene / Graphene-SGX - a library OS for Linux multi-process applications, with Intel SGX support
Support Deep Learning on Hadoop platform
HILB and iDIST are two efficient anonymization algorithms proposed by Gabriel Ghinita in his paper. This repository is a python implementation for HILB and iDIST.
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)。
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.