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Differentially Private Language Models for Secure Data Sharing
@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}, slug = {matternetal22}, author = {Mattern, J. and Jin, Z. and Weggenmann, B. and Sch{\"o}lkopf, B. and Sachan, M.}, url = {https://aclanthology.org/2022.emnlp-main.323}, month_numeric = {12} }