davidleeh Goto Github PK

optee_os

Trusted side of the TEE

ppfl

Privacy-preserving Federated Learning with Trusted Execution Environments

private-data-objects

The Private Data Objects lab provides technology for confidentiality-preserving, off-chain smart contracts.

private-join-and-compute

qemu-lite

sanctum

Minimal RISC Extensions for Isolated Execution

sel4-client-os

Simple Client OS for testing seL4 tee

sel4-tee-client-app

sel4-tee-os

Google Summer Of Code 2016 project for lowRISC organization . building a trusted execution environment on top of seL4.

sel4-tee-os-sample-app

sample app for sel4-tee-os

sgx-hardware

This is a list of hardware which is supports Intel SGX - Software Guard Extensions.

sgx-papers

A list of system papers using/about Intel SGX

sgx-pte

Telling your secrets without page faults: Stealthy page table-based attacks on enclaved execution

solidity

Solidity, the Contract-Oriented Programming Language

tee-os-manifest

tf-encrypted

A Framework for Encrypted Machine Learning in TensorFlow

tnn

TNN: developed by Tencent Youtu Lab and Guangying Lab, a lightweight and high-performance deep learning framework for mobile inference. TNN is distinguished by several outstanding features, including its cross-platform capability, high performance, model compression and code pruning. Based on ncnn and Rapidnet, TNN further strengthens the support and performance optimization for mobile devices, and also draws on the advantages of good extensibility and high performance from existed open source efforts. TNN has been deployed in multiple Apps from Tencent, such as Mobile QQ, Weishi, Pitu, etc. Contributions are welcome to work in collaborative with us and make TNN a better framework. TNN：由腾讯优图实验室和光影实验室协同打造，移动端高性能、轻量级推理框架，同时拥有跨平台、高性能、模型压缩、代码裁剪等众多突出优势。TNN框架在原有Rapidnet、ncnn框架的基础上进一步加强了移动端设备的支持以及性能优化，同时也借鉴了业界主流开源框架高性能和良好拓展性的优点。目前TNN已经在手Q、微视、P图等应用中落地，欢迎大家参与协同共建，促进TNN推理框架进一步完善。

v86

x86 virtualization in JavaScript, running in your browser and NodeJS

x86emulatorpkg

xtratum

XtratuM Mirror