A High-Speed Accelerator for Homomorphic Encryption using the Karatsuba Algorithm

15 citations recorded by the source corpus.

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HEAX: An Architecture for Computing on Encrypted Data (2019, background): “In [46] and [37, 47], authors focus on designing hardware architecture for the encryption operation only, by leveraging Karat-suba and Comba multiplication algorithms, respectively.”
F1: A Fast and Programmable Accelerator for Fully Homomorphic Encryption (2021, unknown): “Limitations of prior accelerators: Prior work has proposed several FHE accelerators for FPGAs [20, 22, 27, 52, 53, 65, 66, 71].”
HEAX: High-Performance Architecture for Computation on Homomorphically Encrypted Data in the Cloud (2019, methodology): “These co-processors work in conjunction with CPUs and accelerate one or more of the homomorphic operations [45, 55, 21, 38, 56, 49].”
Faster CryptoNets: Leveraging Sparsity for Real-World Encrypted Inference (2018, methodology): “Additionally, [49] suggests that there are very signiﬁcant drawbacks to batching, including having to select more numerous and on accelerating neural networks neglect batching for similar reasons as ours ( [59] does not use batching, and [11]. uses batching to compress messages but not to improve…”