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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

daslabpaperlist.github.io

dpml-benchmark

This repository contains the codes for first large-scale investigation of Differentially Private Convex Optimization algorithms.

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

gradient-embedding-perturbation

handcrafted-dp

linux

Linux kernel source tree

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

redunet

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