This paper is in the following e-collection/theme issue:

Security in Digital Health (49) Artificial Intelligence (2060) Electronic Health Records (1295) Machine Learning (2032)

Published on in Vol 10, No 8 (2022): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/38440, first published .
Exploiting Missing Value Patterns for a Backdoor Attack on Machine Learning Models of Electronic Health Records: Development and Validation Study

Exploiting Missing Value Patterns for a Backdoor Attack on Machine Learning Models of Electronic Health Records: Development and Validation Study

Exploiting Missing Value Patterns for a Backdoor Attack on Machine Learning Models of Electronic Health Records: Development and Validation Study

Authors of this article:

Byunggill Joe1 Author Orcid Image ;   Yonghyeon Park2 Author Orcid Image ;   Jihun Hamm3 Author Orcid Image ;   Insik Shin1 Author Orcid Image ;   Jiyeon Lee4 Author Orcid Image
Article Authors Cited by (4) Tweetations (2) Metrics

Byunggill Joe   1 * , MSc ;   Yonghyeon Park   2 * , MSc ;   Jihun Hamm   3 , PhD ;   Insik Shin   1 , PhD ;   Jiyeon Lee   4 , PhD

1 School of Computing, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea

2 An affiliated institute of Electronics and Telecommunications Research Institute, Daejeon, Republic of Korea

3 Department of Computer Science, Tulane University, New Orleans, LA, United States

4 School of AI Convergence, Soongsil University, Seoul, Republic of Korea

*these authors contributed equally

Corresponding Author:

  • Jiyeon Lee, PhD
  • School of AI Convergence
  • Soongsil University
  • Mobility Intelligence & Computing Systems Laboratory
  • 369 Sangdo-ro, Dongjak-gu
  • Seoul 06978
  • Republic of Korea
  • Phone: 82 2-820-0950
  • Email: jylee.cs@ssu.ac.kr