Publications

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," accepted for ASIACRYPT 2023, December 2023 (Top-tier cryptography conference)

Eunsang Lee, Joon-Woo Lee*, Junghyun Lee, Yongjune Kim, Young-Sik Kim, Jong-Seon No, and Wooseok Choi, "Low-complexity deep convolutional neural networks on fully homomorphic encryption using multiplexed parallel convolutions," ICML 2022, July 2022. (Top-tier ML conferenece)

Yongwoo Lee, Joon-Woo Lee, Young-Sik Kim*, Yongjune Kim, Hyungchul Kang, and Jong-Seon No, "High-precision bootstrapping for approximate homomorphic encryption by error variance minimization," EUROCRYPT 2022, June 2022 (Top-tier cryptography 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," EUROCRYPT 2021, October 2021 (Top-tier cryptography conference)

Joon-Woo Lee, Jae-Won Kim*, and Jong-Seon No, "Improvement of extended least difference greedy clique-cover algorithm for index coding," ICTC 2018, October 2018.

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, June 2023.

Zahyun Koo, Joon-Woo Lee*, Jong-Seon No*, and Young-Sik Kim, "Key Reduction in Multi-Key and Threshold Multi-Key Homomorphic Encryptions by Reusing Error," IEEE Access, May 2023.

Eunsang Lee, Joon-Woo Lee*, Young-Sik Kim, and Jong-Seon No, “Minimax approximation of sign function by composite polynomial for homomorphic comparison,” IEEE Transactions on Dependable and Secure Computing, 19(6), pp. 3711-3727, 2022 (IF : 6.791, JCR 2021 Top 8.6%).

Joon-Woo Lee(co-first with Hyungchul Kang), Hyungchul Kang, Yongwoo Lee, Wooseok 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, March 2022.

Eunsang Lee, Joon-Woo Lee, Young-Sik Kim*, and Jong-Seon No, "Optimization of homomorphic comparison algorithm on RNS-CKKS scheme," IEEE Access, March 2022.

Zahyun Koo, Yongwoo Lee, Joon-Woo Lee, Young-Sik Kim*, and Jong-Seon No, “Improved reduction between SIS problems over structured lattices,” IEEE Access, November 2021.

Joon-Woo Lee, Young-Sik Kim*, and Jong-Seon No, “Analysis of modified shell sort for fully homomorphic encryption,” IEEE Access, September 2021.

Yongwoo Lee, Joon-Woo Lee, Young-Sik Kim*, and Jong-Seon No, “Near-optimal polynomial for modulus reduction using L2-norm for approximate homomorphic encryption,” IEEE Access, August 2020.