| 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 | 136 | 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 | 120 | 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 | 67 | 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 | 65 | 2020 |
| 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 | 48 | 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 | 28 | 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 | 12 | 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 | 4 | 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 |
