Empirical Inference
Conference Paper
2022
Differentially Private Language Models for Secure Data Sharing
arXiv
| 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}
}