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Paper Abstract and Keywords
Presentation 2020-03-11 15:10
Fairness Causes Vulnerability to Adversarial Attacks
Koki Wataoka, Takashi Matsubara, Kuniaki Uehara (Kobe Univ.) IBISML2019-48
Abstract (in Japanese) (See Japanese page) 
(in English) When using machine learning models in society, it is essential to be ensure classifiers are fair to race and gender. In recent yeas, many methods have been proposed to make classifiers fair. However, the security of fair classifiers has been rarely discussed. In the field of machine learning, there is an attack method called adversarial attacks that reduce the accuracy of classifiers. In this paper, fair classifiers are vulnerable to adversarial attacks. Our experiment has shown that fair classifiers are less robust against adversarial attacks than usual classifiers and hence worse classification accuracy and part of fairness performance.
Key words Fairness, Adversarial Attacks, Adversarial Training
Keyword (in Japanese) (See Japanese page) 
(in English) Fairness / Adversarial Attacks / Adversarial Training / / / / /  
Reference Info. IEICE Tech. Rep., vol. 119, no. 476, IBISML2019-48, pp. 101-105, March 2020.
Paper # IBISML2019-48 
Date of Issue 2020-03-03 (IBISML) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
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Conference Information
Committee IBISML  
Conference Date 2020-03-10 - 2020-03-11 
Place (in Japanese) (See Japanese page) 
Place (in English) Kyoto University 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Machine learning, etc. 
Paper Information
Registration To IBISML 
Conference Code 2020-03-IBISML 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Fairness Causes Vulnerability to Adversarial Attacks 
Sub Title (in English)  
Keyword(1) Fairness  
Keyword(2) Adversarial Attacks  
Keyword(3) Adversarial Training  
1st Author's Name Koki Wataoka  
1st Author's Affiliation Kobe University (Kobe Univ.)
2nd Author's Name Takashi Matsubara  
2nd Author's Affiliation Kobe University (Kobe Univ.)
3rd Author's Name Kuniaki Uehara  
3rd Author's Affiliation Kobe University (Kobe Univ.)
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Date Time 2020-03-11 15:10:00 
Presentation Time 25 
Registration for IBISML 
Paper # IEICE-IBISML2019-48 
Volume (vol) IEICE-119 
Number (no) no.476 
Page pp.101-105 
#Pages IEICE-5 
Date of Issue IEICE-IBISML-2020-03-03 

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