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Taeyong Kim - IEEE Xplore Author Profile
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Taeyong Kim

Also published under: Tae Yong Kim

Publications
2
Citations
8
Publications by Year
20222023
Co-Authors:
Show All Co-Authors (6)
Image of author Taeyong Kim

Taeyong Kim

Also published under: Tae Yong Kim

Affiliation

Department of Computer Engineering
Hongik University
Seoul, Republic of Korea

Publication Topics

Biography

Taeyong Kim is currently pursuing the B.S. degree in computer engineering with Hongik University, Seoul, Republic of Korea. His research interests include deep learning, computer vision, and biometrics.(Based on document published on 28 July 2023).
Publications
2
Citations
8
Publications by Year
20222023
Co-Authors:
Show All Co-Authors (6)
Author's Published Works

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Defending Against Adversarial Fingerprint Attacks Based on Deep Image Prior

Hwajung Yoo;Pyo Min Hong;Taeyong Kim;Jung Won Yoon;Youn Kyu Lee

IEEE Access
Year: 2023 | Volume: 11 | Journal Article |
Cited by: Papers (5)
Recently, deep learning-based biometric authentication systems, especially fingerprint authentication, have been used widely in real-world. However, these systems are vulnerable to adversarial attacks which prevent deep learning models from distinguishing input data properly. To solve these problems, various defense methods have been proposed, especially utilizing denoising mechanisms, but they pr...Show More

Defending Against Adversarial Fingerprint Attacks Based on Deep Image Prior

Hwajung Yoo;Pyo Min Hong;Taeyong Kim;Jung Won Yoon;Youn Kyu Lee

Year: 2023 | Volume: 11 | Journal Article |

A Central Point-based Analysis for Fingerprint Liveness Detection

Min Young Lim;Tae Yong Kim;Joung Eun Park;Pyo Min Hong;Youn Kyu Lee

2022 13th International Conference on Information and Communication Technology Convergence (ICTC)
Year: 2022 | Conference Paper |
Cited by: Papers (3)
To minimize security threats using fake fingerprints, various CNN-based fingerprint liveness detection methods have been proposed. However, since existing methods mainly employ a random crop method, key information of target fingerprint may be overlooked during the training process, which may lead to decreased detection accuracy. In this paper, we propose a new fingerprint liveness detection metho...Show More

A Central Point-based Analysis for Fingerprint Liveness Detection

Min Young Lim;Tae Yong Kim;Joung Eun Park;Pyo Min Hong;Youn Kyu Lee

Year: 2022 | Conference Paper |

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