Huajie Shen's repositories
Helloblockchain
A try of blockchain structure and proof of work in python
AdijeShen
Config files for my GitHub profile.
hehub
HEhub is a library for homomorphic encryption and its applications, and is part of the PrimiHub project.
lattice-estimator
An attempt at a new LWE estimator
libOTe
A fast, portable, and easy to use Oblivious Transfer Library
SEAL
Microsoft SEAL is an easy-to-use and powerful homomorphic encryption library.
AdijeShen.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
ai-edu
AI education materials for Chinese students, teachers and IT professionals.
bls
A simple Python implementation of threshold BLS signatures.
cryptoTools
A repo to hold common tools used by my crypto projects
data-security-incidents
A list to track the data security incidents or privacy breach incidents.
emp-ot
Oblivious Transfer, Oblivious Transfer Extension and Variations
GmSSL
支持国密SM2/SM3/SM4/SM9/SSL的密码工具箱
HElib
HElib is an open-source software library that implements homomorphic encryption. It supports the BGV scheme with bootstrapping and the Approximate Number CKKS scheme. HElib also includes optimizations for efficient homomorphic evaluation, focusing on effective use of ciphertext packing techniques and on the Gentry-Halevi-Smart optimizations.
images
For readme.md file use in my project list
lattigo
A library for lattice-based homomorphic encryption in Go
ML-For-Beginners
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
MLIA-in-CPP
Machine Learning in Action learning code with CPP
msoc_demo
An demo application of a fully homomorphic encryption scheme MSOC
new-pac
翻墙-科学上网、免费翻墙、免费科学上网、VPN、一键翻墙浏览器，vps一键搭建翻墙服务器脚本/教程，免费shadowsocks/ss/ssr/v2ray/goflyway账号/节点，免费自由上网、fanqiang、翻墙梯子，电脑、手机、iOS、安卓、windows、Mac、Linux、路由器翻墙、科学上网
primihub
Hyper Multi-Party computing platform
Regev_NTL
an implementation of Regev2005 scheme with NTL lib
Rosetta
A Privacy-Preserving Framework Based on TensorFlow
secretflow
A unified framework for privacy-preserving data analysis and machine learning
spu
SPU (Secure Processing Unit) aims to be a provable, measurable secure computation device, which provides computation ability while keeping your private data protected.
volepsi
Efficient Private Set Intersection base on VOLE