Miran Kim, PhD

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Postdoctoral Researcher

Research Interest

  • Cryptography
  • Computational number theory
  • information security

Publications

  • Jung Hee Cheon, Miran Kim, and  Kristrin Lauter: Homomorphic computation of edit distance. In Financial Cryptography and Data Security, pages 194-212. Springer, 2015.
  • Miran Kim and Kristin Lauter: Private genome analysis through homomorphic encryption. BMC medical informatics and decision making, 15(Suppl 5):S3, 2015.
  • Jung Hee Cheon, Miran Kim, and Myungsun Kim: Optimized search-and-compute circuits and their application to query evaluation on encrypted data. IEEE Transactions on Information Forensics and Security, 11(1):188-199, 2016.
  • Shuang Wang, Yuchen Zhang, Wenrui Dai, Kristin Lauter, Miran Kim, Yuzhe Tang, Hongkai Xiong, and Xiaoqian Jiang: HEALER: Homomorphic computation of exact logistic regression for secure rare disease variants analysis in GWAS. Bioinformatics, 32(2):211-218, 2016.
  • Miran Kim, Yongsoo Song, and Jung Hee Cheon: Secure searching of biomarkers using hybrid homomorphic encryption scheme. To be appeared in BMC medical informatics and decision making, 2017.

Eduction History

  • Ph.D., Science Mathematics, Seoul National University
  • M.S., Science Mathematics, Seoul National University
  • B.S., Mathematical Education, Seoul National University

Contact 

mrkim@ucsd.edu