Learning and Evaluating a Differentially Private Pre-trained Language ModelDownload PDFOpen Website

2021 (modified: 27 Feb 2022)EMNLP (Findings) 2021Readers: Everyone
Abstract: Shlomo Hoory, Amir Feder, Avichai Tendler, Sofia Erell, Alon Peled-Cohen, Itay Laish, Hootan Nakhost, Uri Stemmer, Ayelet Benjamini, Avinatan Hassidim, Yossi Matias. Findings of the Association for Computational Linguistics: EMNLP 2021. 2021.
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