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 (1), 30039 - 30054, 2022 | 227 | 2022 |
Fast digital TRNG based on metastable ring oscillator I Vasyltsov, E Hambardzumyan, YS Kim, B Karpinskyy International Workshop on Cryptographic Hardware and Embedded Systems, 164-180, 2008 | 177 | 2008 |
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 EUROCRYPT 2021 12696, 618-647, 2021 | 87 | 2021 |
Low-Complexity Deep Convolutional Neural Networks on Fully Homomorphic Encryption Using Multiplexed Convolutions E Lee, JW Lee, J Lee, YS Kim, Y Kim, JS No, W Choi Proceedings of Machine Learning Research 162 (1), 2022 | 81* | 2022 |
High-Precision Bootstrapping for Approximate Homomorphic Encryption by Error Variance Minimization Y Lee, J Lee, YS Kim, Y Kim, JS No, HC Kang EUROCRYPT 2022 13275, 551-580, 2022 | 55 | 2022 |
New McEliece cryptosystem based on polar codes as a candidate for post-quantum cryptography SR Shrestha, YS Kim 2014 14th International Symposium on Communications and Information …, 2014 | 54 | 2014 |
New family of p-ary sequences with optimal correlation property and large linear span JW Jang, YS Kim, JS No, T Helleseth IEEE transactions on information theory 50 (8), 1839-1843, 2004 | 50 | 2004 |
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 (1), 62062-62076, 2023 | 49 | 2023 |
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 2022 (1), 2022 | 47 | 2022 |
New design of low-correlation zone sequence sets YS Kim, JW Jang, JS No, H Chung IEEE Transactions on Information Theory 52 (10), 4607-4616, 2006 | 46 | 2006 |
On the autocorrelation distributions of Sidel'nikov sequences YS Kim, JS Chung, JS No, H Chung IEEE transactions on information theory 51 (9), 3303-3307, 2005 | 45 | 2005 |
New quaternary sequences with ideal autocorrelation constructed from binary sequences with ideal autocorrelation. JW Jang, YS Kim, SH Kim, JS No Information Theory, 2009. ISIT 2009. IEEE International Symposium on, 278-281, 2009 | 44 | 2009 |
Cross-Correlation Distribution of -ary -Sequence of Period and Its Decimated Sequences by EY Seo, YS Kim, JS No, DJ Shin IEEE Transactions on Information Theory 54 (7), 3140-3149, 2008 | 43 | 2008 |
Efficient Local Secret Sharing for Distributed Blockchain Systems Y Kim, RR Kiran, YS Kim, LR Varshney, NR Shanbhag IEEE Communications Letters 23 (2), 282-285, 2019 | 42 | 2019 |
New construction of quaternary sequences with ideal autocorrelation from Legendre sequences. YS Kim, JW Jang, SH Kim, JS No Information Theory, 2009. ISIT 2009. IEEE International Symposium on, 282-285, 2009 | 42 | 2009 |
New Families of -Ary Sequences With Low Correlation Constructed From Sidel'nikov Sequences YS Kim, JS Chung, JS No, H Chung IEEE Transactions on Information Theory 54 (8), 3768-3774, 2008 | 42 | 2008 |
Near-Optimal Partial Hadamard Codebook Construction Using Binary Sequences Obtained From Quadratic Residue Mapping S Hong, H Park, JS No, T Helleseth, YS Kim IEEE Transactions on Information Theory 60 (6), 3698 - 3705, 2014 | 38 | 2014 |
New quaternary sequences with optimal autocorrelation YS Kim, JW Jang, SH Kim, JS No Information Theory, 2009. ISIT 2009. IEEE International Symposium on, 286-289, 2009 | 38 | 2009 |
New reversible data hiding scheme using lattices YS Kim, K Kang, DW Lim Applied Mathematics & Information Sciences 9 (5), 2627-2636, 2015 | 29 | 2015 |
Near-optimal Polynomial for Modulus Reduction Using L2-norm for Approximate Homomorphic Encryption Y Lee, JL Lee, YS Kim, JS No IEEE Access 8 (1), 144321-144330, 2020 | 26 | 2020 |