Authors
Martin Albrecht, Melissa Chase, Hao Chen, Jintai Ding, Shafi Goldwasser, Sergey Gorbunov, Shai Halevi, Jeffrey Hoffstein, Kim Laine, Kristin Lauter, Satya Lokam, Daniele Micciancio, Dustin Moody, Travis Morrison, Amit Sahai, Vinod Vaikuntanathan
Publication date
2021
Journal
Protecting privacy through homomorphic encryption
Pages
31-62
Publisher
Springer International Publishing
Description
We met as a group during the Homomorphic Encryption Standardization Workshop on July 13–14, 2017, hosted at Microsoft Research in Redmond, and again during the second workshop on March 15–16, 2018 in MIT. Researchers from around the world represented government, industry, and academia. There are several research groups around the world who have made libraries for general-purpose homomorphic encryption available for applications and general-purpose use. Some examples include [40–46,47]. Most general-purpose libraries for homomorphic encryption implement schemes that are based on the ring learning-with-error (RLWE) problem, and many of them displayed common choices for the underlying rings, error distributions, and other parameters.
Total citations
202020212022202320241215396119
Scholar articles
M Albrecht, M Chase, H Chen, J Ding, S Goldwasser… - Protecting privacy through homomorphic encryption, 2021