Jongmin Kim
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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
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 12, 3024-3038, 2024
NeuJeans: Private Neural Network Inference with Joint Optimization of Convolution and Bootstrapping
JH Ju, J Park, J Kim, D Kim, JH Ahn
arXiv preprint arXiv:2312.04356, 2023
High-precision RNS-CKKS on fixed but smaller word-size architectures: theory and application
R Agrawal, JH Ahn, F Bergamaschi, R Cammarota, JH Cheon, ...
Proceedings of the 11th Workshop on Encrypted Computing & Applied …, 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, JH Ahn
arXiv preprint arXiv:2308.04890, 2023
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