Wenqiang Ruan's repositories
ABY
ABY - A Framework for Efficient Mixed-protocol Secure Two-party Computation
aby3
A Three Party MPC framework for Machine learning and Databases
Awesome-Privacy
Repository for collection of research papers on privacy.
capc-iclr
CaPC is a method that enables collaborating parties to improve their own local heterogeneous machine learning models in a setting where both confidentiality and privacy need to be preserved to prevent explicit and implicit sharing of private data.
Classification-on-Arrhythmia-Dataset
Predicts the absence or presence of arrhythmia and classifies them into 16 groups.
CppGuide
C/C++学习，后端开发进阶指南。
CrypTen
A framework for Privacy Preserving Machine Learning
CyberChair
2020年秋季《软件工程》课程项目 - CyberChair
Effective_Modern_Cpp
A repository stores the code samples from the book 《Effective Modern C++》
emp-sh2pc
Semi-honest Two Party Computation Based on Garbled Circuits.
Ensuring-Fairness-Beyond-the-Training-Data
Linear programs to check for machine learning fairness.
fp-course
Functional Programming Course
gpt-2-Pytorch
Simple Text-Generator with OpenAI gpt-2 Pytorch Implementation
ML-Leaks
Code for the paper "ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models"
MP-SPDZ
Versatile framework for multi-party computation
MultipartyPSI
Practical Multi-party Private Set Intersection from Symmetric-Key Techniques[ACM CCS 2017]
National-Scale-Secure-Parallel-Computation
Secure parallel computation on national scale volumes of data
piranha
Piranha: A GPU Platform for Secure Computation
privacy
Library for training machine learning models with privacy for training data
SCALE-MAMBA
Repository for the SCALE-MAMBA MPC system
SecMML
SecMML: Secure MPC(multi-party computation) Machine Learning Framework
SIDP
Robust Differentially Private Training of Deep Neural Networks
TaBERT
This repository contains source code for the TaBERT model, a pre-trained language model for learning joint representations of natural language utterances and (semi-)structured tables for semantic parsing. TaBERT is pre-trained on a massive corpus of 26M Web tables and their associated natural language context, and could be used as a drop-in replacement of a semantic parsers original encoder to compute representations for utterances and table schemas (columns).
tf-encrypted
A Framework for Encrypted Machine Learning in TensorFlow
wqruan.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes