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MemFHE: End-to-End Computing with Fully Homomorphic Encryption in Memory

MemFHE: End-to-End Computing with Fully Homomorphic Encryption in Memory

26 April 2022
Saransh Gupta
Rosario Cammarota
Tajana Simunic
ArXivPDFHTML

Papers citing "MemFHE: End-to-End Computing with Fully Homomorphic Encryption in Memory"

2 / 2 papers shown
Title
On Lattices, Learning with Errors, Random Linear Codes, and Cryptography
On Lattices, Learning with Errors, Random Linear Codes, and Cryptography
O. Regev
LRM
81
1,073
0
08 Jan 2024
F1: A Fast and Programmable Accelerator for Fully Homomorphic Encryption
  (Extended Version)
F1: A Fast and Programmable Accelerator for Fully Homomorphic Encryption (Extended Version)
Axel S. Feldmann
Nikola Samardzic
A. Krastev
S. Devadas
R. Dreslinski
Karim M. El Defrawy
Nicholas Genise
Chris Peikert
Daniel Sánchez
61
251
0
11 Sep 2021
1