HUSCAP logo Hokkaido Univ. logo

Hokkaido University Collection of Scholarly and Academic Papers >
Theses >
博士 (情報科学) >

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

Files in This Item:
Zhang_Jiahuan.pdf26.75 MBPDFView/Open
Please use this identifier to cite or link to this item:https://doi.org/10.14943/doctoral.k16012
Related Items in HUSCAP:

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:課程博士 (Doctorate by way of Advanced Course) > 情報科学院(Graduate School of Information Science and Technology)
学位論文 (Theses) > 博士 (情報科学)

Export metadata:

OAI-PMH ( junii2 , jpcoar_1.0 )

MathJax is now OFF:


 

 - Hokkaido University