Zobrazeno 1 - 10
of 155
pro vyhledávání: '"Pyo, Min"'
Autor:
Ha, Yura, Pyo, Min Ju, Hong, Ye Eun, Nam, So Hye, Song, Woo-Jung, Kwon, Hyouk-Soo, Kim, Tae-Bum, Cho, Yoo Sook, Lee, Ji-Hyang
Publikováno v:
In World Allergy Organization Journal November 2024 17(11)
Publikováno v:
IEEE Access, Vol 12, Pp 130031-130041 (2024)
To counter the security threats posed by presentation attacks on fingerprint authentication systems, various deep learning-based fingerprint liveness detection methods have been proposed. However, existing methods typically require significant comput
Externí odkaz:
https://doaj.org/article/2ce8b0100cb941a28b4881122566a848
Publikováno v:
IEEE Access, Vol 12, Pp 127272-127282 (2024)
A large amount of data collected from sensors exhibits Gaussian noise characteristics, making denoising and related processing critical. However, data scarcity can lead to overfitting, posing challenges in training deep learning-based denoising metho
Externí odkaz:
https://doaj.org/article/57dc61025f5a4718ae271fed98c735f1
Publikováno v:
IEEE Access, Vol 12, Pp 116693-116710 (2024)
Recent threats to deep learning-based biometric authentication systems stem from adversarial attacks exploiting vulnerabilities in deep learning models. While existing studies extensively analyze the risk of such attacks, they primarily focus on isol
Externí odkaz:
https://doaj.org/article/d003d117d8f34baa984f968d6db1e307
Autor:
Min Young Lim, Seong Hee Park, Soo-Hyun Lee, Jung Won Yoon, Pyo Min Hong, Hwajung Yoo, Kon-Woo Kwon, Jongwook Jeong, Youn Kyu Lee
Publikováno v:
SoftwareX, Vol 26, Iss , Pp 101656- (2024)
The development and deployment of deep learning models are currently limited to expert developers due to the requirement for programming expertise, posing challenges for non-expert or inexperienced developers. In this paper, we present VELCRO, a visu
Externí odkaz:
https://doaj.org/article/87d290186ca54569884a64d3f3d37483
Akademický článek
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Autor:
Yoo, Hee Joon, Pyo, Min Cheol, Rhee, Kyu Hyun, Lim, Jae-Min, Yang, Seon-Ah, Yoo, Min Ki, Lee, Kwang-Won
Publikováno v:
In Ecotoxicology and Environmental Safety 1 July 2023 259
Publikováno v:
IEEE Access, Vol 11, Pp 78713-78725 (2023)
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 distingui
Externí odkaz:
https://doaj.org/article/056c5429a3f24802a384e34a0862f464
Autor:
Ham, So Young1 (AUTHOR) soyoung@yonsei.ac.kr, Pyo, Min Ju1 (AUTHOR) vyalswn2525@naver.com, Kang, Moonkyung2 (AUTHOR), Kim, Yeon-Soo2,3 (AUTHOR), Lee, Dong Hun4,5,6 (AUTHOR) ivymed27@snu.ac.kr, Chung, Jin Ho4,5,6,7 (AUTHOR) jhchung@snu.ac.kr, Lee, Seung-Taek1 (AUTHOR) stlee@yonsei.ac.kr
Publikováno v:
Cells (2073-4409). Mar2024, Vol. 13 Issue 6, p527. 16p.
Autor:
Rahman, M. Shafiur, Kim, Ah-Na, Lee, Kyo-Yeon, Pyo, Min-Jeong, Chun, Jiyeon, Kim, Hyun-Jin, Choi, Sung-Gil
Publikováno v:
In International Journal of Biological Macromolecules 1 April 2023 233