Juliet: A Configurable Processor for Computing on Encrypted Data

Charles Gouert; Dimitris Mouris; Nektarios Georgios Tsoutsos

Paper 2024/1089

Juliet: A Configurable Processor for Computing on Encrypted Data

Charles Gouert

, University of Delaware

Dimitris Mouris

, University of Delaware

Nektarios Georgios Tsoutsos

, University of Delaware

Abstract

Fully homomorphic encryption (FHE) has become progressively more viable in the years since its original inception in 2009. At the same time, leveraging state-of-the-art schemes in an efficient way for general computation remains prohibitively difficult for the average programmer. In this work, we introduce a new design for a fully homomorphic processor, dubbed Juliet, to enable faster operations on encrypted data using the state-of-the-art TFHE and cuFHE libraries for both CPU and GPU evaluation. To improve usability, we define an expressive assembly language and instruction set architecture (ISA) judiciously designed for end-to-end encrypted computation. We demonstrate Juliet's capabilities with a broad range of realistic benchmarks including cryptographic algorithms, such as the lightweight ciphers Simon and Speck, as well as logistic regression (LR) inference and matrix multiplication.

Note: The Juliet framework is open-sourced at https://github.com/TrustworthyComputing/Juliet, and the HEJava compiler is available at https://github.com/TrustworthyComputing/HEJava-compiler. This article is published in IEEE Transactions on Computers; the IEEE version is available at https://doi.org/10.1109/TC.2024.3416752.

Metadata

Available format(s): PDF
Category: Applications
Publication info: Published elsewhere. IEEE Transactions on Computers
DOI: 10.1109/TC.2024.3416752
Keywords: Encrypted Processor Hardware Acceleration Homomorphic Encryption Privacy-Preserving ISA Private Computation
Contact author(s): cgouert @ udel edu
jimouris @ udel edu
tsoutsos @ udel edu
History: 2024-07-05: approved; 2024-07-04: received; See all versions
Short URL: https://ia.cr/2024/1089
License: CC BY

BibTeX

@misc{cryptoeprint:2024/1089,
      author = {Charles Gouert and Dimitris Mouris and Nektarios Georgios Tsoutsos},
      title = {Juliet: A Configurable Processor for Computing on Encrypted Data},
      howpublished = {Cryptology ePrint Archive, Paper 2024/1089},
      year = {2024},
      doi = {10.1109/TC.2024.3416752},
      note = {\url{https://eprint.iacr.org/2024/1089}},
      url = {https://eprint.iacr.org/2024/1089}
}