| 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 | 345 | 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 | 133 | 2022 |
| High-precision bootstrapping of RNS-CKKS homomorphic encryption using optimal minimax polynomial approximation and inverse sine function JW Lee, E Lee, Y Lee, YS Kim, JS No Advances in Cryptology–EUROCRYPT 2021: 40th Annual International Conference …, 2021 | 113 | 2021 |
| Minimax approximation of sign function by composite polynomial for homomorphic comparison E Lee, JW Lee, JS No, YS Kim IEEE Transactions on Dependable and Secure Computing 19 (6), 3711-3727, 2021 | 83 | 2021 |
| High-precision bootstrapping for approximate homomorphic encryption by error variance minimization Y Lee, JW Lee, YS Kim, Y Kim, JS No, HC Kang Annual International Conference on the Theory and Applications of …, 2022 | 81 | 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 |
| Optimization of homomorphic comparison algorithm on RNS-CKKS scheme E Lee, JW Lee, YS Kim, JS No IEEE Access 10, 26163-26176, 2022 | 39 | 2022 |
| Near-optimal polynomial for modulus reduction using l2-norm for approximate homomorphic encryption Y Lee, JW Lee, YS Kim, JS No IEEE Access 8, 144321-144330, 2020 | 30 | 2020 |
| Rotation Key Reduction for Client-Server Systems of Deep Neural Network on Fully Homomorphic Encryption JW Lee, E Lee, YS Kim, JS No International Conference on the Theory and Application of Cryptology and …, 2023 | 16* | 2023 |
| Analysis of modified shell sort for fully homomorphic encryption JW Lee, YS Kim, JS No IEEE Access 9, 126198-126215, 2021 | 7 | 2021 |
| Optimized Layerwise Approximation for Efficient Private Inference on Fully Homomorphic Encryption J Lee, E Lee, YS Kim, Y Lee, JW Lee, Y Kim, JS No arXiv preprint arXiv:2310.10349, 2023 | 6* | 2023 |
| Powerformer: Efficient Privacy-Preserving Transformer with Batch Rectifier-Power Max Function and Optimized Homomorphic Attention D Park, E Lee, JW Lee Cryptology ePrint Archive, 2024 | 4 | 2024 |
| Method and apparatus for processing ciphertext based on homomorphic encryption JS No, YW Lee, YS Kim, JW Lee US Patent 11,546,134, 2023 | 3 | 2023 |
| Bootstrapping on SEAL HC Kang, JW Lee, Y Lee, YS Kim, JS No Cryptology ePrint Archive, 2020 | 3 | 2020 |
| Encryption method and apparatus using homomorphic encryption JS No, LEE Joonwoo, YS Kim, Y Lee, E Lee US Patent App. 17/218,790, 2021 | 2* | 2021 |
| Key Reduction in Multi-Key and Threshold Multi-Key Homomorphic Encryptions by Reusing Error Z Koo, JW Lee, JS No, YS Kim IEEE Access 11, 50310-50324, 2023 | 1 | 2023 |
| Improved Reduction Between SIS Problems Over Structured Lattices Z Koo, Y Lee, JW Lee, JS No, YS Kim IEEE Access 9, 157083-157092, 2021 | 1 | 2021 |
| APPARATUS AND METHOD WITH NEURAL NETWORK OPERATION OF HOMOMORPHIC ENCRYPTED DATA JS NO, ES Lee, JW Lee, YS Kim, Y Kim, JH Lee US Patent App. 18/498,667, 2024 | | 2024 |
| Apparatus and method with encrypted data neural network operation JS No, J Lee, KIM Yongjune, JW Lee, YS Kim, E Lee US Patent App. 18/488,497, 2024 | | 2024 |
| Apparatus and method with encrypted data neural network operation JS No, KIM Yongjune, ES Lee, JH Lee, YS Kim, JW Lee US Patent App. 18/470,589, 2024 | | 2024 |
