List of works - Miran Kim

A secure system for genomics clinical decision support

scientific article published on 17 October 2020

Encrypting Controller using Fully Homomorphic Encryption for Security of Cyber-Physical Systems**The work of J. Kim, C. Lee, and H. Shim was supported by ICT R & D program of MSIP/IITP Grant number 14-824-09-013, Resilient Cyber-Physical Systems

scientific article published in 2016

HEALER: homomorphic computation of ExAct Logistic rEgRession for secure rare disease variants analysis in GWAS

scientific article published on 6 October 2015

Homomorphic Encryption for Arithmetic of Approximate Numbers

Logistic regression model training based on the approximate homomorphic encryption

scientific article published on 11 October 2018

Optimized Search-and-Compute Circuits and Their Application to Query Evaluation on Encrypted Data

scientific article published in 2016

Private genome analysis through homomorphic encryption.

scientific article published on 21 December 2015

SCOR: A secure international informatics infrastructure to investigate COVID-19

scientific article published on 10 July 2020

Secure Logistic Regression Based on Homomorphic Encryption: Design and Evaluation

scientific article published on 17 April 2018

Secure Logistic Regression Based on Homomorphic Encryption: Design and Evaluation (Preprint)

Secure Outsourced Matrix Computation and Application to Neural Networks

scientific article published on 01 October 2018

Secure and Differentially Private Logistic Regression for Horizontally Distributed Data

scientific article published in 2020

Secure human action recognition by encrypted neural network inference

scientific article published in 2022

Secure searching of biomarkers through hybrid homomorphic encryption scheme

scientific article published on 26 July 2017

SecureLR: Secure Logistic Regression Model via a Hybrid Cryptographic Protocol

scientific article published on 07 May 2018

Semi-Parallel logistic regression for GWAS on encrypted data

scientific article published on 21 July 2020

The evolving privacy and security concerns for genomic data analysis and sharing as observed from the iDASH competition