How reparametrization trick broke differentially-private text representation learning

Ivan Habernal. How reparametrization trick broke differentially-private text representation learning. In Smaranda Muresan, Preslav Nakov, Aline Villavicencio, editors, Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), ACL 2022, Dublin, Ireland, May 22-27, 2022. pages 771-777, Association for Computational Linguistics, 2022. [doi]

@inproceedings{Habernal22,
  title = {How reparametrization trick broke differentially-private text representation learning},
  author = {Ivan Habernal},
  year = {2022},
  url = {https://aclanthology.org/2022.acl-short.87},
  researchr = {https://researchr.org/publication/Habernal22},
  cites = {0},
  citedby = {0},
  pages = {771-777},
  booktitle = {Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), ACL 2022, Dublin, Ireland, May 22-27, 2022},
  editor = {Smaranda Muresan and Preslav Nakov and Aline Villavicencio},
  publisher = {Association for Computational Linguistics},
  isbn = {978-1-955917-22-3},
}