Making Computation on Encrypted Data Practical through Hardware Acceleration of Fully Homomorphic Encryption
Fully Homomorphic Encryption (FHE) enables offloading computation to untrusted servers with cryptographic privacy. Despite its attractive security, FHE is not yet widely adopted due to its prohibitive overheads, about 10,000× over unencrypted computation. Hardware acceleration is an attractive ap...
Main Author: | Samardzic, Nikola |
---|---|
Other Authors: | Sanchez, Daniel |
Format: | Thesis |
Published: |
Massachusetts Institute of Technology
2022
|
Online Access: | https://hdl.handle.net/1721.1/144604 |
Similar Items
-
BitPacker: Enabling High Arithmetic Efficiency in Fully Homomorphic Encryption Accelerators
by: Samardzic, Nikola, et al.
Published: (2024) -
F1: A Fast and Programmable Accelerator for Fully Homomorphic Encryption
by: Samardzic, Nikola, et al.
Published: (2022) -
Designing a Programmable Hardware Accelerator for Fully Homomorphic Encryption
by: Feldmann, Axel S.
Published: (2022) -
A Tensor Compiler with Automatic Data Packing for Simple and Efficient Fully Homomorphic Encryption
by: Krastev, Aleksandar, et al.
Published: (2024) -
Optimizing fully homomorphic encryption
by: King, Kevin C
Published: (2018)