fannxy Goto Github PK
Name: Xiaoyu Fan
Type: User
Location: Beijing, Tsinghua University
Xiaoyu Fan's Projects
aby
ABY - A Framework for Efficient Mixed-protocol Secure Two-party Computation
aby3
A Three Party MPC framework for Machine learning and Databases
alpaca-lora
Instruct-tune LLaMA on consumer hardware
babyagi
Automatic AI-agent
cogdl
CogDL: An Extensive Research Toolkit for Graphs
crypten
A framework for Privacy Preserving Machine Learning
cryptography-project
THU Cryptography project, including AES-128, SM4, SHA-2, SHA-3, SM-3 algorithms.
cs_infogan
final project of fanxy
emp-ot
Oblivious Transfer, Oblivious Transfer Extension and Variations
ezpc
FSS
fabric
Hyperledger Fabric is an enterprise-grade permissioned distributed ledger framework for developing solutions and applications. Its modular and versatile design satisfies a broad range of industry use cases. It offers a unique approach to consensus that enables performance at scale while preserving privacy.
fabric-samples
Samples for Hyperledger Fabric
frameworks
Sample code and build environments for MPC frameworks
fresco
A FRamework for Efficient Secure COmputation
gigadoram
This repo contains the artifact for the paper "GigaDORAM: Breaking the Billion Address Barrier" published in USENIX Security 2023. We provide directions and Python scripts for reproducing the experiments measuring GigaDORAM in the paper.
gpupool
GPU cluster kubernetes configurations and usages
libfss
Library for performing Function Secret Sharing (FSS)
llama
Inference code for LLaMA models
machinelearning
some real example of machine learn algorithm
mp-spdz
Versatile framework for multi-party computation
mpc-develop
Dockerfiles for MPC frameworks
nfgen
NFGen: Automatic Non-Linear Function Evaluation Code Generator for General-purpose MPC Platforms
privacy-preserving-pca
privacy-preserving related algorithm
pta
Pair-then-Aggregate: An Efficient and Large-scale Parallel Programming Paradigm for General-purpose MPC Platforms
pymodbus
A full modbus protocol written in python
secrecy
A relational Multi-Party Computation framework for analytics in untrusted clouds
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