zhoumingyi

tensor_rank_cnn

tensor rank learning in CP decomposition via convolutional neural network

CustomDLCoder

Code for our paper "Model-less Is the Best Model: Generating Pure Code Implementations to Replace On-Device DL Models" that has been accepted by ISSTA'24

DaST

A novel data-free model stealing method based on GAN

DynaMO

Code for ASE2024 Paper: DynaMO: Protecting Mobile DL Models through Coupling Obfuscated DL Operators

ModelObfuscator

Code for our paper "Modelobfuscator: Obfuscating Model Information to Protect Deployed ML-Based Systems" that has been published by ISSTA'23

REOM

A method that can convert TFLite models to PyTorch Model (ICSE'24)

tensor_rank_cnn

ensor rank learning in CP decomposition via convolutional neural network

zhoumingyi.github.io

zhoumingyi.github.io-old-

zhoumingyi/DaST

A novel data-free model stealing method based on GAN

zhoumingyi/ModelObfuscator

Code for our paper "Modelobfuscator: Obfuscating Model Information to Protect Deployed ML-Based Systems" that has been published by ISSTA'23

zhoumingyi/REOM

A method that can convert TFLite models to PyTorch Model (ICSE'24)

zhoumingyi/CustomDLCoder

Code for our paper "Model-less Is the Best Model: Generating Pure Code Implementations to Replace On-Device DL Models" that has been accepted by ISSTA'24

zhoumingyi/DynaMO

Code for ASE2024 Paper: DynaMO: Protecting Mobile DL Models through Coupling Obfuscated DL Operators

zhoumingyi/tensor_rank_cnn

ensor rank learning in CP decomposition via convolutional neural network

zhoumingyi/zhoumingyi.github.io

zhoumingyi/zhoumingyi.github.io-old-