wqruan Goto Github PK
Name: Wenqiang Ruan
Type: User
Bio: Ph.D. student at Fudan University
Name: Wenqiang Ruan
Type: User
Bio: Ph.D. student at Fudan University
ABY - A Framework for Efficient Mixed-protocol Secure Two-party Computation
A Three Party MPC framework for Machine learning and Databases
Repository for collection of research papers on privacy.
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.
Predicts the absence or presence of arrhythmia and classifies them into 16 groups.
C/C++学习,后端开发进阶指南。
A framework for Privacy Preserving Machine Learning
2020年秋季《软件工程》课程项目 - CyberChair
This repository contains the codes for first large-scale investigation of Differentially Private Convex Optimization algorithms.
A repository stores the code samples from the book 《Effective Modern C++》
Semi-honest Two Party Computation Based on Garbled Circuits.
Linear programs to check for machine learning fairness.
Functional Programming Course
Simple Text-Generator with OpenAI gpt-2 Pytorch Implementation
Linux kernel source tree
Code for the paper "ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models"
Versatile framework for multi-party computation
Practical Multi-party Private Set Intersection from Symmetric-Key Techniques[ACM CCS 2017]
Secure parallel computation on national scale volumes of data
Piranha: A GPU Platform for Secure Computation
Library for training machine learning models with privacy for training data
Repository for the SCALE-MAMBA MPC system
SecMML: Secure MPC(multi-party computation) Machine Learning Framework
Robust Differentially Private Training of Deep Neural Networks
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).
A Framework for Encrypted Machine Learning in TensorFlow
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.