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Miran Kim
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2020 – today
- 2024
- [j12]Magsarjav Bataa, Siwoo Song, Kunsoo Park, Miran Kim, Jung Hee Cheon, Sun Kim:
Finding Highly Similar Regions of Genomic Sequences Through Homomorphic Encryption. J. Comput. Biol. 31(3): 197-212 (2024) - [c14]Byungjin Choi, Jong Chan Park, Hye Jin Chang, Kyung Joo Hwang, Sun Hyung Yum, Miran Kim:
Multimodal Model for Predicting Fetal Acidosis in Delivery Room. MIE 2024: 585-586 - [i18]Leo de Castro, Duhyeong Kim, Miran Kim, Keewoo Lee, Seonhong Min, Yongsoo Song:
More Efficient Lattice-based OLE from Circuit-private Linear HE with Polynomial Overhead. IACR Cryptol. ePrint Arch. 2024: 1534 (2024) - 2023
- [c13]Miran Kim, Dongwon Lee, Jinyeong Seo, Yongsoo Song:
Accelerating HE Operations from Key Decomposition Technique. CRYPTO (4) 2023: 70-92 - [i17]Miran Kim, Dongwon Lee, Jinyeong Seo, Yongsoo Song:
Accelerating HE Operations from Key Decomposition Technique. IACR Cryptol. ePrint Arch. 2023: 413 (2023) - 2022
- [j11]Su Wang, Miran Kim, Wentao Li, Xiaoqian Jiang, Han Chen, Arif Ozgun Harmanci:
Privacy-aware estimation of relatedness in admixed populations. Briefings Bioinform. 23(6) (2022) - [j10]Su Wang, Miran Kim, Xiaoqian Jiang, Arif Ozgun Harmanci:
Evaluation of vicinity-based hidden Markov models for genotype imputation. BMC Bioinform. 23(1): 356 (2022) - [j9]Miran Kim, Su Wang, Xiaoqian Jiang, Arif Ozgun Harmanci:
SVAT: Secure outsourcing of variant annotation and genotype aggregation. BMC Bioinform. 23(1): 409 (2022) - [j8]Tsung-Ting Kuo, Xiaoqian Jiang, Haixu Tang, XiaoFeng Wang, Arif Ozgun Harmanci, Miran Kim, Kai W. Post, Diyue Bu, Tyler Bath, Jihoon Kim, Weijie Liu, Hongbo Chen, Lucila Ohno-Machado:
The evolving privacy and security concerns for genomic data analysis and sharing as observed from the iDASH competition. J. Am. Medical Informatics Assoc. 29(12): 2182-2190 (2022) - 2021
- [c12]Hao Chen, Wei Dai, Miran Kim, Yongsoo Song:
Efficient Homomorphic Conversion Between (Ring) LWE Ciphertexts. ACNS (1) 2021: 460-479 - [i16]Miran Kim, Xiaoqian Jiang, Kristin E. Lauter, Elkhan Ismayilzada, Shayan Shams:
HEAR: Human Action Recognition via Neural Networks on Homomorphically Encrypted Data. CoRR abs/2104.09164 (2021) - 2020
- [j7]Jean Louis Raisaro, Francesco Marino, Juan Ramón Troncoso-Pastoriza, Raphaelle Beau-Lejdstrom, Riccardo Bellazzi, Robert Murphy, Elmer V. Bernstam, Henry Wang, Mauro Bucalo, Yong Chen, Assaf Gottlieb, Arif Ozgun Harmanci, Miran Kim, Yejin Kim, Jeffrey G. Klann, Catherine Klersy, Bradley A. Malin, Marie Méan, Fabian Prasser, Luigia Scudeller, Ali Torkamani, Julien Vaucher, Mamta Puppala, Stephen T. C. Wong, Milana Frenkel-Morgenstern, Hua Xu, Baba Maiyaki Musa, Abdulrazaq G. Habib, Trevor Cohen, Adam B. Wilcox, Hamisu M. Salihu, Heidi Sofia, Xiaoqian Jiang, Jean-Pierre Hubaux:
SCOR: A secure international informatics infrastructure to investigate COVID-19. J. Am. Medical Informatics Assoc. 27(11): 1721-1726 (2020) - [j6]Seemeen Karimi, Xiaoqian Jiang, Robert H. Dolin, Miran Kim, Aziz A. Boxwala:
A secure system for genomics clinical decision support. J. Biomed. Informatics 112: 103602 (2020) - [j5]Miran Kim, Junghye Lee, Lucila Ohno-Machado, Xiaoqian Jiang:
Secure and Differentially Private Logistic Regression for Horizontally Distributed Data. IEEE Trans. Inf. Forensics Secur. 15: 695-710 (2020) - [c11]Hao Chen, Miran Kim, Ilya P. Razenshteyn, Dragos Rotaru, Yongsoo Song, Sameer Wagh:
Maliciously Secure Matrix Multiplication with Applications to Private Deep Learning. ASIACRYPT (3) 2020: 31-59 - [c10]Magsarjav Bataa, Siwoo Song, Kunsoo Park, Miran Kim, Jung Hee Cheon, Sun Kim:
Homomorphic Computation of Local Alignment. BIBM 2020: 2167-2174 - [i15]Yeongjae Gil, Xiaoqian Jiang, Miran Kim, Junghye Lee:
Secure and Differentially Private Bayesian Learning on Distributed Data. CoRR abs/2005.11007 (2020) - [i14]Hao Chen, Wei Dai, Miran Kim, Yongsoo Song:
Efficient Homomorphic Conversion Between (Ring) LWE Ciphertexts. IACR Cryptol. ePrint Arch. 2020: 15 (2020) - [i13]Hao Chen, Miran Kim, Ilya P. Razenshteyn, Dragos Rotaru, Yongsoo Song, Sameer Wagh:
Maliciously Secure Matrix Multiplication with Applications to Private Deep Learning. IACR Cryptol. ePrint Arch. 2020: 451 (2020)
2010 – 2019
- 2019
- [j4]Yichen Jiang, Jenny Hamer, Chenghong Wang, Xiaoqian Jiang, Miran Kim, Yongsoo Song, Yuhou Xia, Noman Mohammed, Md. Nazmus Sadat, Shuang Wang:
SecureLR: Secure Logistic Regression Model via a Hybrid Cryptographic Protocol. IEEE ACM Trans. Comput. Biol. Bioinform. 16(1): 113-123 (2019) - [c9]Hao Chen, Wei Dai, Miran Kim, Yongsoo Song:
Efficient Multi-Key Homomorphic Encryption with Packed Ciphertexts with Application to Oblivious Neural Network Inference. CCS 2019: 395-412 - [i12]Miran Kim, Yongsoo Song, Baiyu Li, Daniele Micciancio:
Semi-parallel Logistic Regression for GWAS on Encrypted Data. IACR Cryptol. ePrint Arch. 2019: 294 (2019) - [i11]Hao Chen, Wei Dai, Miran Kim, Yongsoo Song:
Efficient Multi-Key Homomorphic Encryption with Packed Ciphertexts with Application to Oblivious Neural Network Inference. IACR Cryptol. ePrint Arch. 2019: 524 (2019) - 2018
- [c8]Xiaoqian Jiang, Miran Kim, Kristin E. Lauter, Yongsoo Song:
Secure Outsourced Matrix Computation and Application to Neural Networks. CCS 2018: 1209-1222 - [c7]Jung Hee Cheon, Kyoohyung Han, Andrey Kim, Miran Kim, Yongsoo Song:
Bootstrapping for Approximate Homomorphic Encryption. EUROCRYPT (1) 2018: 360-384 - [c6]Jung Hee Cheon, Kyoohyung Han, Andrey Kim, Miran Kim, Yongsoo Song:
A Full RNS Variant of Approximate Homomorphic Encryption. SAC 2018: 347-368 - [i10]Miran Kim, Yongsoo Song, Shuang Wang, Yuhou Xia, Xiaoqian Jiang:
Secure Logistic Regression based on Homomorphic Encryption. IACR Cryptol. ePrint Arch. 2018: 74 (2018) - [i9]Jung Hee Cheon, Kyoohyung Han, Andrey Kim, Miran Kim, Yongsoo Song:
Bootstrapping for Approximate Homomorphic Encryption. IACR Cryptol. ePrint Arch. 2018: 153 (2018) - [i8]Andrey Kim, Yongsoo Song, Miran Kim, Keewoo Lee, Jung Hee Cheon:
Logistic Regression Model Training based on the Approximate Homomorphic Encryption. IACR Cryptol. ePrint Arch. 2018: 254 (2018) - [i7]Jung Hee Cheon, Kyoohyung Han, Andrey Kim, Miran Kim, Yongsoo Song:
A Full RNS Variant of Approximate Homomorphic Encryption. IACR Cryptol. ePrint Arch. 2018: 931 (2018) - [i6]Xiaoqian Jiang, Miran Kim, Kristin E. Lauter, Yongsoo Song:
Secure Outsourced Matrix Computation and Application to Neural Networks. IACR Cryptol. ePrint Arch. 2018: 1041 (2018) - 2017
- [c5]Jung Hee Cheon, Andrey Kim, Miran Kim, Yong Soo Song:
Homomorphic Encryption for Arithmetic of Approximate Numbers. ASIACRYPT (1) 2017: 409-437 - [i5]Jung Hee Cheon, Miran Kim, Yong Soo Song:
Secure Searching of Biomarkers Using Hybrid Homomorphic Encryption Scheme. IACR Cryptol. ePrint Arch. 2017: 294 (2017) - 2016
- [j3]Shuang Wang, Yuchen Zhang, Wenrui Dai, Kristin E. Lauter, Miran Kim, Yuzhe Richard Tang, Hongkai Xiong, Xiaoqian Jiang:
HEALER: homomorphic computation of ExAct Logistic rEgRession for secure rare disease variants analysis in GWAS. Bioinform. 32(2): 211-218 (2016) - [j2]Jung Hee Cheon, Miran Kim, Myungsun Kim:
Optimized Search-and-Compute Circuits and Their Application to Query Evaluation on Encrypted Data. IEEE Trans. Inf. Forensics Secur. 11(1): 188-199 (2016) - [i4]Jung Hee Cheon, Andrey Kim, Miran Kim, Yong Soo Song:
Floating-Point Homomorphic Encryption. IACR Cryptol. ePrint Arch. 2016: 421 (2016) - 2015
- [j1]Miran Kim, Kristin E. Lauter:
Private genome analysis through homomorphic encryption. BMC Medical Informatics Decis. Mak. 15-S(5): S3 (2015) - [c4]Jung Hee Cheon, Miran Kim, Myungsun Kim:
Search-and-Compute on Encrypted Data. Financial Cryptography Workshops 2015: 142-159 - [c3]Jung Hee Cheon, Miran Kim, Kristin E. Lauter:
Homomorphic Computation of Edit Distance. Financial Cryptography Workshops 2015: 194-212 - [i3]Jung Hee Cheon, Miran Kim, Kristin E. Lauter:
Homomorphic Computation of Edit Distance. IACR Cryptol. ePrint Arch. 2015: 132 (2015) - [i2]Miran Kim, Kristin E. Lauter:
Private Genome Analysis through Homomorphic Encryption. IACR Cryptol. ePrint Arch. 2015: 965 (2015) - 2014
- [i1]Jung Hee Cheon, Miran Kim, Myungsun Kim:
Search-and-compute on Encrypted Data. IACR Cryptol. ePrint Arch. 2014: 812 (2014) - 2013
- [c2]Miran Kim, Jeff Angermann, George Bebis, Eelke Folmer:
ViziCal: accurate energy expenditure prediction for playing exergames. UIST 2013: 397-404 - 2011
- [c1]Miran Kim:
Position in Word Effects Revisited in relation to Stress and Accent Effects. ICPhS 2011: 1078-1081
Coauthor Index
aka: Yong Soo Song
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last updated on 2024-11-11 22:23 CET by the dblp team
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