Choi, S.-H.; Bahk, T.-u.; Ahn, S.; Choi, Y.-H. Clustering Approach for Detecting Multiple Types of Adversarial Examples. Sensors 2022, 22, 3826. https://doi.org/10.3390/s22103826

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주요 연구결과물[관리자]

주요 연구결과물[관리자]

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제목	Choi, S.-H.; Bahk, T.-u.; Ahn, S.; Choi, Y.-H. Clustering Approach for Detecting Multiple Types of Adversarial Examples. Sensors 2022, 22, 3826. https://doi.org/10.3390/s221038262024-09-27 17:54
카테고리	SCI paper
작성자	infosec

이전	Oktian, Y.E.; Le, T.-T.-H.; Jo, U.; Kim, H. RealPrice: Blockchain-Powered Real-Time Pricing for Software-Defined Enabled Edge Network. Sensors 2022, 22, 9639. https://doi.org/10.3390/s22249639	infosec	2024-09-27
다음	S. -H. Choi, J. -M. Shin, P. Liu and Y. -H. Choi, "ARGAN: Adversarially Robust Generative Adversarial Networks for Deep Neural Networks Against Adversarial Examples," in IEEE Access, vol. 10	infosec	2024-09-27

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