PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
May 31, 2022130 citationsOpen Access

BTS

View Full Paper
SKSangpyo KimJKJongmin KimMKMichael Jaemin Kim

Key Points

Key points are not available for this paper at this time.

Abstract

Homomorphic encryption (HE) enables the secure offloading of computations to the cloud by providing computation on encrypted data (ciphertexts). HE is based on noisy encryption schemes in which noise accumulates as more computations are applied to the data. The limited number of operations applicable to the data prevents practical applications from exploiting HE. Bootstrapping enables an unlimited number of operations or fully HE (FHE) by refreshing the ciphertext. Unfortunately, bootstrapping requires a significant amount of additional computation and memory bandwidth as well. Prior works have proposed hardware accelerators for computation primitives of FHE. However, to the best of our knowledge, this is the first to propose a hardware FHE accelerator that supports bootstrapping as a first-class citizen.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Kim et al. (2022) studied this question.

synapsesocial.com/papers/697aa3cb8df279a8d351b104https://doi.org/10.1145/3470496.3527415
Ask AI
Helpful
Bookmark
Share
View Full Paper