Gradient-based Adversarial Attacks against Text Transformers

Install Dependencies and Data Download:

1. Install HuggingFace dependences

conda install -c huggingface transformers
pip install datasets

2. (Optional) For attacks against DBPedia14, download from Kaggle and setup data directory to contain:

<data_dir>/dbpedia_csv/
       train.csv
       test.csv

Citation

Please cite [1] if you found the resources in this repository useful.

[1] C. Guo *, A. Sablayrolles *, Herve Jegou, Douwe Kiela. Gradient-based Adversarial Attacks against Text Transformers. EMNLP 2021.

@article{guo2021gradientbased,
  title={Gradient-based Adversarial Attacks against Text Transformers},
  author={Guo, Chuan and Sablayrolles, Alexandre and Jégou, Hervé and Kiela, Douwe},
  journal={arXiv preprint arXiv:2104.13733},
  year={2021}
}

License

This project is CC-BY-NC 4.0 licensed, as found in the LICENSE file.