Skip to content

AntigoneRandy/PTYNet

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

9 Commits
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

PTYNet

This repository includes official PyTorch implementation of the paper "Free Fine-tuning: A Plug-and-Play Watermarking Scheme for Deep Neural Networks". (ACM Multimedia 2023 Poster) [arXiv]

Get Started

We recommend using conda for installation.

Dataset

We provide the dataset and models for Fixed Background (SimpleBG). The dataset can be downloaded here and the corresponding model checkpoint is here.

conda create -n ptynet python=3.7
conda activate ptynet

After activating conda environment, please install the dependencies running the following commands

pip install -r requirements.txt

About

The official implementation of the paper "Free Fine-tuning: A Plug-and-Play Watermarking Scheme for Deep Neural Networks".

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

 
 
 

Contributors

Languages