| Privacy-preserving machine learning with fully homomorphic encryption for deep neural network JW Lee, HC Kang, Y Lee, W Choi, J Eom, M Deryabin, E Lee, J Lee, ... iEEE Access 10, 30039-30054, 2022 | 348 | 2022 |
| Low-complexity deep convolutional neural networks on fully homomorphic encryption using multiplexed parallel convolutions E Lee, JW Lee, J Lee, YS Kim, Y Kim, JS No, W Choi International Conference on Machine Learning, 12403-12422, 2022 | 137 | 2022 |
| Precise approximation of convolutional neural networks for homomorphically encrypted data J Lee, E Lee, JW Lee, Y Kim, YS Kim, JS No IEEE Access 11, 62062-62076, 2023 | 70 | 2023 |
| Optimizing layerwise polynomial approximation for efficient private inference on fully homomorphic encryption: a dynamic programming approach J Lee, E Lee, YS Kim, Y Lee, JW Lee, Y Kim, JS No CoRR, 2023 | 6 | 2023 |
| Apparatus and method with homomorphic encryption C Woosuk, L Joon-Woo, L Eunsang, K Young-Sik, KIM Yongjune, ... US Patent App. US20230188317A1, 2023 | | 2023 |
