Synthetic Query Generation for Privacy-Preserving Deep Retrieval Systems using Differentially Private Language Models

Synthetic Query Generation for Privacy-Preserving Deep Retrieval Systems using Differentially Private Language Models Aldo Carranza author Rezsa Farahani author Natalia Ponomareva author Alexey Kurakin author Matthew Jagielski author Milad Nasr author 2024-06 text Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) Kevin Duh editor Helena Gomez editor Steven Bethard editor Association for Computational Linguistics Mexico City, Mexico conference publication carranza-etal-2024-synthetic 10.18653/v1/2024.naacl-long.217 https://aclanthology.org/2024.naacl-long.217/ 2024-06 3920 3930