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Empirical Inference Conference Paper 2022

Differentially Private Language Models for Secure Data Sharing

arXiv
Empirical Inference
Zhijing Jin
Research Scientist
Empirical Inference
Bernhard Schölkopf
  • Director

Author(s): Mattern, J. and Jin, Z. and Weggenmann, B. and Schölkopf, B. and Sachan, M.
Links:
Book Title: Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP)
Pages: 4860--4873
Year: 2022
Month: December
Editors: Yoav Goldberg and Zornitsa Kozareva and Yue Zhang
Publisher: Association for Computational Linguistics
BibTeX Type: Conference Paper (conference)
DOI: 10.18653/v1/2022.emnlp-main.323
Event Name: The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022)
Event Place: Abu Dhabi, United Arab Emirates
State: Published
URL: https://aclanthology.org/2022.emnlp-main.323
Electronic Archiving: grant_archive

BibTeX 

@conference{Matternetal22,
  title = {Differentially Private Language Models for Secure Data Sharing},
  booktitle = {Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP)},
  pages = {4860--4873},
  editors = {Yoav Goldberg and Zornitsa Kozareva and Yue Zhang},
  publisher = {Association for Computational Linguistics},
  month = dec,
  year = {2022},
  author = {Mattern, J. and Jin, Z. and Weggenmann, B. and Sch{\"o}lkopf, B. and Sachan, M.},
  doi = {10.18653/v1/2022.emnlp-main.323},
  url = {https://aclanthology.org/2022.emnlp-main.323},
  month_numeric = {12}
}