@inproceedings{kerrigan-etal-2020-differentially,
    title = "Differentially Private Language Models Benefit from Public Pre-training",
    author = "Kerrigan, Gavin  and
      Slack, Dylan  and
      Tuyls, Jens",
    editor = "Feyisetan, Oluwaseyi  and
      Ghanavati, Sepideh  and
      Malmasi, Shervin  and
      Thaine, Patricia",
    booktitle = "Proceedings of the Second Workshop on Privacy in NLP",
    month = nov,
    year = "2020",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/landing_page/2020.privatenlp-1.5/",
    doi = "10.18653/v1/2020.privatenlp-1.5",
    pages = "39--45"
}