Publications
Publications
An asterisk (*) implies corresponding author.
Dongjin Park, Eunsang Lee*, Joon-Woo Lee*, "Powerformer: Efficient and High-Accuracy Privacy-Preserving Language Model with Homomorphic Encryption." In Annual Meeting of the Association for Computational Linguistics (ACL 2025), accepted for publication. (Top-tier natural language processing conference)
Joon-Woo Lee, Eunsang Lee*, Young-Sik Kim*, Jong-Seon No, "Rotation Key Reduction for Client-Server Systems of Deep Neural Network on Fully Homomorphic Encryption." In Annual International Conference on the Theory and Applications of Cryptology and Information Security (ASIACRYPT 2023), pp. 36-68, Springer, 2023. (Top-tier cryptography conference)
Eunsang Lee, Joon-Woo Lee*, Junghyun Lee, Young-Sik Kim, Yongjune Kim, Jong-Seon No, and Woosuk Choi, "Low Complexity Deep Convolutional Neural Networks on Fully Homomorphic Encryption Using Multiplexed Parallel Convolutions." In International Conference on Machine Learning (ICML 2022), pp. 12403-12422, PMLR, 2022. (Top-tier machine learning conference)
Joon-Woo Lee*, Eunsang Lee, Yongwoo Lee, Young-Sik Kim, and Jong-Seon No, "High-Precision Bootstrapping of RNS-CKKS Homomorphic Encryption Using Optimal Minimax Polynomial Approximation and Inverse Sine Function." In Annual International Conference on the Theory and Applications of Cryptographic Techniques (EUROCRYPT 2021), pp. 618-647, Springer, 2021. (Top-tier cryptography conference)
Junghyun Lee, Eunsang Lee*, Joon-Woo Lee*, Yongjune Kim, Young-Sik Kim, and Jong-Seon No, "Precise Approximation of Convolutional Neural Networks for Homomorphically Encrypted Data." IEEE Access, 11:62062-62076, 2023.
Eunsang Lee, Joon-Woo Lee, Young-Sik Kim*, and Jong-Seon No, "Optimization of Homomorphic Comparison Algorithm on RNS-CKKS Scheme." IEEE Access, 10:26163-26176, 2022.
Joon-Woo Lee, Hyungchul Kang, Yongwoo Lee, Woosuk Choi, Jieun Eom, Maxim Deryabin, Eunsang Lee, Junghyun Lee, Donghoon Yoo, Young-Sik Kim*, and Jong-Seon No, "Privacy-Preserving Machine Learning with Fully Homomorphic Encryption for Deep Neural Network." IEEE Access, 10:30039-30054, 2022.
Eunsang Lee, Joon-Woo Lee*, Jong-Seon No, and Young-Sik Kim, "Minimax Approximation of Sign Function by Composite Polynomial for Homomorphic Comparison." IEEE Transactions on Dependable and Secure Computing, 19(6):3711-3727, 2021 (IF: 7.329, Top 2.31%).
Minki Song, Seunghwan Lee, Dong-Joon Shin*, Eunsang Lee, Young-Sik Kim, and Jong-Seon No, "Analysis of Error Dependencies on Newhope." IEEE Access, 8:45443-45456, 2020.
Eunsang Lee, Young-Sik Kim*, Jong-Seon No, Minki Song, and Dong-Joon Shin, "Modication of FrodoKEM Using Gray and Error-Correcting Codes." IEEE Access, 7:179564-179574, 2019.
Yamada Akihiko and Eunsang Lee*, "Analysis of Research Trends in Homomorphic Encryption Using Bibliometric Analysis." Journal of Korea Institute of Information Security and Cryptology, 33(4):601-608, 2023.
Eunsang Lee*, "Precise Max-Pooling on Fully Homomorphic Encryption." Journal of Korea Institute of Information Security and Cryptology, 33(3):375-381, 2023.
Eunsang Lee* and Jong-Seon No, "Method for Improving the 256-Bit Cryptosystem FrodoKEM Using Gray and Error-Correcting Codes." Journal of Korean Institute of Communications and Information Sciences, 45(6):998-1003, 2020.