[LMSS22] Securing Approximate Homomorphic Encryption Using Differential Privacy
Authors: Baiyu Li, Daniele Micciancio, Mark Schultz, Jessica Sorrell | Venue: CRYPTO 2022 | Source
Abstract
TODO — abstract.
BibTeX
@Inproceedings{C:LMSS22,
author = {Baiyu Li and Daniele Micciancio and Mark Schultz and Jessica Sorrell},
title = {Securing Approximate Homomorphic Encryption Using Differential Privacy},
pages = {560--589},
editor = {Yevgeniy Dodis and Thomas Shrimpton},
booktitle = {Advances in Cryptology -- {CRYPTO}~2022, Part~I},
volume = {13507},
series = {Lecture Notes in Computer Science},
address = {Santa Barbara, CA, USA},
month = {aug~15--18},
publisher = {Springer, Cham, Switzerland},
year = {2022},
doi = {10.1007/978-3-031-15802-5_20},
}