Secure and Efficient Regression Analysis Using a Hybrid Cryptographic Framework: Development and Evaluation

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Works citing "Secure and Efficient Regression Analysis Using a Hybrid Cryptographic Framework: Development and Evaluation"

Md Nazmus Sadat, Xiaoqian Jiang, Md Momin Al Aziz, Shuang Wang, Noman Mohammed

JMIR Med Inform 2018 (Mar 05); 6(1):e14

According to Crossref, the following articles are citing this article (DOI 10.2196/medinform.8286):

(note that this is only a small subset of citations)

Yang Y, Huang X, Liu X, Cheng H, Weng J, Luo X, Chang V. A Comprehensive Survey on Secure Outsourced Computation and Its Applications. IEEE Access 2019;7:159426
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Wirth FN, Kussel T, Müller A, Hamacher K, Prasser F. EasySMPC: a simple but powerful no-code tool for practical secure multiparty computation. BMC Bioinformatics 2022;23(1)
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Affum E, Enchill M. Data Confidentiality in Machine Learning: Exploring Multivariate Regression and Its Application on Encrypted Medical Data. SN Computer Science 2024;5(4)
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According to Crossref, the following books are citing this article (DOI 10.2196/medinform.8286):

. Handbook of Research on Complexities, Management, and Governance in Healthcare. 2022. chapter 22:300
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