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博士論文

A Study on Defense Against Adversarial Examples and Unauthorized Access for Convolutional Neural Networks

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A Study on Defense Against Adversarial Examples and Unauthorized Access for Convolutional Neural Networks

Persistent ID (NDL)
info:ndljp/pid/12361023
Material type
博士論文
Author
エープリル, ピョン マウン マウンほか
Publisher
-
Publication date
2022-03-25
Material Format
Digital
Capacity, size, etc.
-
Name of awarding university/degree
東京都立大学,博士（情報科学）
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開始ページ : 1終了ページ : 119

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Digital

Material Type
博士論文
Title
A Study on Defense Against Adversarial Examples and Unauthorized Access for Convolutional Neural Networks
Author/Editor
エープリル, ピョン マウン マウン
April, Pyone Maung Maung
Author Heading
エープリル, ピョン マウン マウン
April, Pyone Maung Maung
Publication Date
2022-03-25
Publication Date (W3CDTF)
2022-03-25
Alternative Title
畳み込みニューラルネットワークのための敵対的サンプルと不正アクセスに対する防御法に関する研究
Degree grantor/type
東京都立大学
Date Granted
2022-03-25
Date Granted (W3CDTF)
2022-03-25