Accelerating Fully Homomorphic Encryption over the Integers with Super-size Hardware Multiplier and Modular Reduction

By Xiaolin Cao, Ciara Moore, Máire O’neill, Elizabeth O'Sullivan, Neil Hanley. 2013

43 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. M. Sadegh Riazi
2. Kim Laine
3. Wei Dai
4. Erdinç Öztürk
5. Yarkin Doröz
6. Blake Pelton
7. Ciara Moore
8. Berk Sunar

Citations in the corpus

• HEAX: An Architecture for Computing on Encrypted Data (2019, background): “ation. A line of research focuses on designing very large integer multipliers (768K-bit to 1.18M-bit multiplications) – based on FPGAs or ASICs – that can be used to accelerate homomorphic operations [13, 28, 29, 61, 62]. In [14], a large-integer multiplier and a Barrett modular reduction are propos”
• Accelerating integer-based fully homomorphic encryption using Comba multiplication (2014, methodology): “An extended version of this work is available on the IACR ePrint Archive [20] and includes optimised hardware architectures for the encryption step of the two integer-based FHE schemes [11], [12].”
• A Custom Accelerator for Homomorphic Encryption Applications (2017, methodology): “[16] CMNT-FHE Xilinx Virtex7 FPGA 13 ms / enc.”
• High-Speed Fully Homomorphic Encryption Over the Integers (2014, methodology): “An extended version of this work is available on the ePrint Archive [22], where the encryption primitives of two integer-based schemes [9,10] are implemented; there was little difference between the synthesis implementation results of these primitives and thus this paper only presents results for th”
• HEAX: High-Performance Architecture for Computation on Homomorphically Encrypted Data in the Cloud (2019, background): “A line of research focuses on designing very large integer multipliers – based on FPGAs or ASICs – that can be used to accelerate homomorphic operations [74, 75, 28, 29, 13].”
• Accelerating Somewhat Homomorphic Evaluation using FPGAs (2015, background): “[7] CMNT-FHE Xilinx Virtex7 FPGA 13 msec / enc.”
• Accelerating LTV Based Homomorphic Encryption in Reconfigurable Hardware (2015, background): “[7] CMNT-FHE Xilinx Virtex7 FPGA 13 msec / enc.”