John Will (ZhiweiWang)

ZhiweiWang

Geek Repo

Company:@Cognizant-Technology-Innovation

Location:Shanghai, China

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John Will's starred repositories

tf-encrypted

A Framework for Encrypted Machine Learning in TensorFlow

Language:PythonLicense:Apache-2.0Stargazers:1205Issues:53Issues:440

lattigo

A library for lattice-based multiparty homomorphic encryption in Go

Language:GoLicense:Apache-2.0Stargazers:1194Issues:29Issues:300

concrete-ml

Concrete ML: Privacy Preserving ML framework using Fully Homomorphic Encryption (FHE), built on top of Concrete, with bindings to traditional ML frameworks.

Language:PythonLicense:NOASSERTIONStargazers:939Issues:22Issues:93

tfhe-rs

TFHE-rs: A Pure Rust implementation of the TFHE Scheme for Boolean and Integer Arithmetics Over Encrypted Data.

Language:RustLicense:NOASSERTIONStargazers:904Issues:17Issues:103

openfhe-development

This is the development repository for the OpenFHE library. The current (stable) version is v1.2.1 (released on September 10, 2024).

Language:C++License:BSD-2-ClauseStargazers:724Issues:14Issues:418

hexl-fpga

Intel Homomorphic Encryption Acceleration Library for FPGAs, including open source implementation of FPGA kernels for accelerating NTT, INTT, Keyswitch and Dyadic Multiplication modular arithmetic operations, FPGA runtime, and host APIs for connecting to third-party homomorphic encryption libraries.

Language:C++License:Apache-2.0Stargazers:92Issues:13Issues:0

piranha

Piranha: A GPU Platform for Secure Computation

Language:C++License:MITStargazers:90Issues:2Issues:15

hehub

HEhub is a library for homomorphic encryption and its applications, and is part of the PrimiHub project.

Language:C++License:Apache-2.0Stargazers:89Issues:7Issues:10

awesome-Federated-Learning

federated-learning

License:MITStargazers:77Issues:4Issues:0

fhe-org.github.io

We are a community of researchers and developers interested in advancing homomorphic encryption and other secure computation techniques.

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SEAL-Embedded

A Microsoft-SEAL-compatible implementation of homomorphic encryption targeting Azure Sphere and other embedded devices.

Language:CLicense:MITStargazers:46Issues:7Issues:7
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python-cryptonet

A Python implementation of CryptoNets: Applying Neural Networks to Encrypted Data with High Throughput and Accuracy

Language:PythonLicense:MITStargazers:29Issues:3Issues:6
Language:VerilogLicense:MITStargazers:22Issues:1Issues:2

bfv-python

Simple Python implementation of BFV Homomorphic Encryption Scheme

CryptoNets-with-Python

CryptoNets using Python and ctypes. This repository is part of the final project of Neural Networks at Sapienza University of Rome.

optimized-number-theoretic-transform-implementations

Optimized implementations of the Number Theoretic Transform (NTT) algorithm for the ring R/(X^N + 1) where N=2^m.

Language:CLicense:Apache-2.0Stargazers:19Issues:9Issues:0

REDcuFHE

Multi-GPU acceleration for Fully Homomorphic Encryption

Language:CudaLicense:MITStargazers:14Issues:4Issues:0

MOSFHET

MOSFHET: Optimized Software for FHE over the Torus

Language:CLicense:Apache-2.0Stargazers:12Issues:3Issues:1

EncryptedImagePredictorNetwork

Implementation of a Neural Network that predicts encrypted handwritten digits from the MNIST dataset. Encryption and Network Implemented using Homomorphic encryption library SEAL. Model obtained by training on unencrypted images using TensorFlow.

ImprovedLT

Faster Homomorphic Discrete Fourier Transforms and Improved FHE Bootstrapping

Language:C++License:NOASSERTIONStargazers:10Issues:0Issues:0

GPU_HE

This repository contains some homomorphic encryption acceleration methods based on GPU platform.

License:GPL-3.0Stargazers:6Issues:2Issues:0

shadowrocket

小火箭shadowrocket账号提供

MHEGRU

GRU with implemented with MHEAAN

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GPU_FFT

FFT_CODES

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FFT-DIT-DIF-radix-2-4-8

An FFT C algorithm supporting DIT&DIF with radix=2,4,8

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EvalRound

Implementation for the paper : EvalRound Algorithm in CKKS Bootstrapping

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nttstuff

several implementations of the number theoretic transform (NTT)

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dft

radix-2 radix-3 radix-4 radix-5 FFT

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