| 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 | 97 | 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 | 51 | 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 | 42 | 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 | 14 | 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 | 8 | 2024 |
| 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 | 2 | 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 | 1 | 2023 |
| 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 | | 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 | | 2023 |
Jung Ho AhnSeoul National UniversityZweryfikowany adres z snu.ac.kr
