A Custom Accelerator for Homomorphic Encryption Applications

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HEAX: An Architecture for Computing on Encrypted Data (2019, neutral): “s performance per watt of power than FPGAs by design. Therefore, FPGAs are more suitable candidates for highperformance and low-power secure computation. AccelerationofYASHEandLTVSchemes.Severalworks [19, 20, 23, 27, 49, 50] focus on improving the performance of YASHE [10] and LTV [45] schemes or th”
HEAX: High-Performance Architecture for Computation on Homomorphically Encrypted Data in the Cloud (2019, background): “Several works [58, 24, 27, 59, 20, 21] focus on improving the performance of YASHE [9] and LTV [53] schemes or their variants.”
HEPCloud: An FPGA-Based Multicore Processor for FV Somewhat Homomorphic Function Evaluation (2018, background): “Hence, it is not surprising that during the recent years several publications [8], [13], [14], [15], [26], [28], [31], [33], [40], [41] have reported re-sults on hardware-based acceleration of different FHE and SHE schemes or their central operations.”