SoK: Fully Homomorphic Encryption Accelerators
December 04, 2022 Β· Declared Dead Β· π ACM Computing Surveys
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Authors
Junxue Zhang, Xiaodian Cheng, Liu Yang, Jinbin Hu, Ximeng Liu, Kai Chen
arXiv ID
2212.01713
Category
cs.CR: Cryptography & Security
Cross-listed
cs.AR
Citations
55
Venue
ACM Computing Surveys
Last Checked
5 months ago
Abstract
Fully Homomorphic Encryption~(FHE) is a key technology enabling privacy-preserving computing. However, the fundamental challenge of FHE is its inefficiency, due primarily to the underlying polynomial computations with high computation complexity and extremely time-consuming ciphertext maintenance operations. To tackle this challenge, various FHE accelerators have recently been proposed by both research and industrial communities. This paper takes the first initiative to conduct a systematic study on the 14 FHE accelerators -- cuHE/cuFHE, nuFHE, HEAT, HEAX, HEXL, HEXL-FPGA, 100$\times$, F1, CraterLake, BTS, ARK, Poseidon, FAB and TensorFHE. We first make our observations on the evolution trajectory of these existing FHE accelerators to establish a qualitative connection between them. Then, we perform testbed evaluations of representative open-source FHE accelerators to provide a quantitative comparison on them. Finally, with the insights learned from both qualitative and quantitative studies, we discuss potential directions to inform the future design and implementation for FHE accelerators.
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