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Hwajung Yoo - IEEE Xplore Author Profile
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Hwajung Yoo

Also published under: Hwa Jung Yoo

Publications
2
Citations
6
Publications by Year
20222023
Co-Authors:
Show All Co-Authors (7)
Image of author Hwajung Yoo

Hwajung Yoo

Also published under: Hwa Jung Yoo

Affiliation

Department of Computer Engineering
Hongik University
Seoul, Republic of Korea

Publication Topics

Biography

Hwajung Yoo received the B.S. degree in computer engineering from Hongik University, Seoul, Republic of Korea. She is conducting research with Hongik University. Her research interests include deep learning and computer security.(Based on document published on 28 July 2023).
Publications
2
Citations
6
Publications by Year
20222023
Co-Authors:
Show All Co-Authors (7)
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 |

Towards Cross-materials: Fingerprint Liveness Detection based on Style Transfer

Soo-Hyun Lee;Min Young Lim;Seong Hee Park;Hwa Jung Yoo;Youn Kyu Lee

2022 13th International Conference on Information and Communication Technology Convergence (ICTC)
Year: 2022 | Conference Paper |
Cited by: Papers (1)
While a number of CNN-based fingerprint liveness detection (FLD) methods have been proposed, they still provide limited detection performance on untrained materials that can be used for generating fake fingerprints. In this paper, we present a cross-material FLD method that improves generalization performance by transferring the material styles between finger-prints. As a result of evaluation usin...Show More

Towards Cross-materials: Fingerprint Liveness Detection based on Style Transfer

Soo-Hyun Lee;Min Young Lim;Seong Hee Park;Hwa Jung Yoo;Youn Kyu Lee

Year: 2022 | Conference Paper |

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