Sangpyo Kim
Sangpyo Kim
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Over 100x faster bootstrapping in fully homomorphic encryption through memory-centric optimization with GPUs
W Jung, S Kim, JH Ahn, JH Cheon, Y Lee
IACR Transactions on Cryptographic Hardware and Embedded Systems, 114-148, 2021
Bts: An accelerator for bootstrappable fully homomorphic encryption
S Kim, J Kim, MJ Kim, W Jung, J Kim, M Rhu, JH Ahn
Proceedings of the 49th annual international symposium on computer …, 2022
Accelerating number theoretic transformations for bootstrappable homomorphic encryption on gpus
S Kim, W Jung, J Park, JH Ahn
2020 IEEE International Symposium on Workload Characterization (IISWC), 264-275, 2020
Ark: Fully homomorphic encryption accelerator with runtime data generation and inter-operation key reuse
J Kim, G Lee, S Kim, G Sohn, M Rhu, J Kim, JH Ahn
2022 55th IEEE/ACM International Symposium on Microarchitecture (MICRO …, 2022
Accelerating fully homomorphic encryption through architecture-centric analysis and optimization
W Jung, E Lee, S Kim, J Kim, N Kim, K Lee, C Min, JH Cheon, JH Ahn
IEEE Access 9, 98772-98789, 2021
SHARP: A short-word hierarchical accelerator for robust and practical fully homomorphic encryption
J Kim, S Kim, J Choi, J Park, D Kim, JH Ahn
Proceedings of the 50th Annual International Symposium on Computer …, 2023
HyPHEN: A Hybrid Packing Method and Its Optimizations for Homomorphic Encryption-based Neural Networks
D Kim, J Park, J Kim, S Kim, JH Ahn
IEEE Access, 2023
Toward practical privacy-preserving convolutional neural networks exploiting fully homomorphic encryption
J Park, D Kim, J Kim, S Kim, W Jung, JH Cheon, JH Ahn
arXiv preprint arXiv:2310.16530, 2023
CiFHER: A Chiplet-Based FHE Accelerator with a Resizable Structure
S Kim, J Kim, J Choi
arXiv preprint arXiv:2308.04890, 2023
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