Hyperbolic Embeddings for Preserving Privacy and Utility in Text

Oluwaseyi Feyisetan, Tom Diethe, Thomas Drake. Hyperbolic Embeddings for Preserving Privacy and Utility in Text. In Oluwaseyi Feyisetan, Sepideh Ghanavati, Oleg Rokhlenko, Patricia Thaine, editors, Proceedings of the PrivateNLP 2020: Workshop on Privacy in Natural Language Processing - Colocated with WSDM 2020, Houston, USA, Feb 7, 2020. Volume 2573 of CEUR Workshop Proceedings, pages 39-40, CEUR-WS.org, 2020. [doi]

Authors

Oluwaseyi Feyisetan

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Tom Diethe

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Thomas Drake

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