Zero-shot Generative Linguistic Steganography

This repo is the official implementation of NAACL'24 paper "Zero-shot Generative Linguistic Steganography".

Setup

1. Create Conda environment and install the requirements:

conda create -n zgls python=3.10
conda activate zgls
#
pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu121
pip install -r requirements.txt
pip install auto-gptq --extra-index-url https://huggingface.github.io/autogptq-index/whl/cu121/

2. Compile external Python module:

pip install external_tools/zgls-utils

3. Install pre-commit hooks:

pre-commit install

4. Create a temp folder in HDD for storing and sharing files, for example:

# DO NOT copy directly!
mkdir -p $SHARE_FOLDER/zgls
ln -s $SHARE_FOLDER/zgls tmp_saves
ln -s $SHARE_FOLDER/datasets/imdb datasets/imdb
ln -s $SHARE_FOLDER/datasets/twitter datasets/twitter

Datasets

Check datasets/ section for details.

Usage

See scripts/ section for details.

Evaluation

For details of metrics, steganalysis, and language evaluation, check evaluate/ section.

Reference

@inproceedings{lin2024zgls,
    title = "Zero-shot Generative Linguistic Steganography",
    author = "Lin, Ke  and
      Luo, Yiyang  and
      Zhang, Zijian  and
      Ping, Luo",
    editor = "Duh, Kevin  and
      Gomez, Helena  and
      Bethard, Steven",
    booktitle = "Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)",
    month = jun,
    year = "2024",
    address = "Mexico City, Mexico",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2024.naacl-long.289",
    pages = "5168--5182",
}