Y.Dong's repositories
PPML-Resource
Materials about Privacy-Preserving Machine Learning
PaperNotes-MPC
Paper Notes in MPC with Applications to PPML
falcon-public
Implementation of protocols in Falcon
shamirSecretSharing
A little demo
-network
SDU_Network
ABY
ABY - A Framework for Efficient Mixed-protocol Secure Two-party Computation
aby3
A Three Party MPC framework for Machine learning and Databases
CrypTen
A framework for Privacy Preserving Machine Learning
awesome-he
✨ Awesome - A curated list of amazing Homomorphic Encryption libraries, software and resources
emp-ot
Oblivious Transfer, Oblivious Transfer Extension and Variations
Learn-to-Program-The-Fundamentals
University of Toronto
MP-SPDZ
Versatile framework for multi-party computation
OTExtension
C++ OT extension implementation
piranha
Piranha: A GPU Platform for Secure Computation
Rosetta
A Privacy-Preserving Framework Based on TensorFlow
secretflow
A unified framework for privacy-preserving data analysis and machine learning
securenn-public
Implementation of protocols in SecureNN.
spu
SPU (Secure Processing Unit) aims to be a provable, measurable secure computation device, which provides computation ability while keeping your private data protected.
terngrad
Ternary Gradients to Reduce Communication in Distributed Deep Learning (TensorFlow)
tf-encrypted
A Framework for Encrypted Machine Learning in TensorFlow
Ye-D.github.io
Personal Academic page