A study on deep learning-based adversarial defense by introducing robust features


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Please use this identifier to cite or link to this item:https://doi.org/10.14943/doctoral.k16012

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Title:	A study on deep learning-based adversarial defense by introducing robust features
Other Titles:	ロバスト特徴の導入による深層学習ベースの敵対的防御に関する研究
Authors:	張, 加煥 Browse this author
Issue Date:	25-Mar-2024
Publisher:	Hokkaido University
Conffering University:	北海道大学
Degree Report Number:	甲第16012号
Degree Level:	博士
Degree Discipline:	情報科学
Examination Committee Members:	(主査) 教授長谷山美紀, 特任教授荒木健治, 特任教授坂本雄児, 教授土橋宜典, 教授小川貴弘
Degree Affiliation:	情報科学院(情報科学専攻)
Type:	theses (doctoral)
URI:	http://hdl.handle.net/2115/92322
Appears in Collections:	学位論文 (Theses) > 博士　（情報科学）課程博士 (Doctorate by way of Advanced Course) > 情報科学院(Graduate School of Information Science and Technology)

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