Improved packing for fully homomorphic encryption with reverse multiplication friendly embeddings
The proliferation of digital devices has led to an explosion of data created each day and it is expected that the amount of data generated to increase exponentially as technology advances. While this vast amount of data can provide key revelations and significant findings for businesses, there is a...
Main Author: | Sim, Jun Jie |
---|---|
Other Authors: | Wang Huaxiong |
Format: | Thesis-Doctor of Philosophy |
Language: | English |
Published: |
Nanyang Technological University
2024
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/173909 |
Similar Items
-
A Tensor Compiler with Automatic Data Packing for Simple and Efficient Fully Homomorphic Encryption
by: Krastev, Aleksandar, et al.
Published: (2024) -
Fully-Additive Printed Electronics: Transistor model, process variation and fundamental circuit designs
by: Zhang, Xi, et al.
Published: (2015) -
BitPacker: Enabling High Arithmetic Efficiency in Fully Homomorphic Encryption Accelerators
by: Samardzic, Nikola, et al.
Published: (2024) -
Multi-key fully homomorphic encryption from NTRU and (R)LWE with faster bootstrapping
by: Xu, Kexin, et al.
Published: (2023) -
On polynomial pairs of integers
by: Ezerman, Martianus Frederic, et al.
Published: (2015)