Presentation 2020-03-11
Fairness Causes Vulnerability to Adversarial Attacks
Koki Wataoka, Takashi Matsubara, Kuniaki Uehara,
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Abstract(in Japanese) (See Japanese page)
Abstract(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)
Keyword(in English) Fairness / Adversarial Attacks / Adversarial Training
Paper # IBISML2019-48
Date of Issue 2020-03-03 (IBISML)

Conference Information
Committee IBISML
Conference Date 2020/3/10(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Kyoto University
Topics (in Japanese) (See Japanese page)
Topics (in English) Machine learning, etc.
Chair Hisashi Kashima(Kyoto Univ.)
Vice Chair Masashi Sugiyama(Univ. of Tokyo) / Koji Tsuda(Univ. of Tokyo)
Secretary Masashi Sugiyama(Nagoya Inst. of Tech.) / Koji Tsuda(AIST)
Assistant Tomoharu Iwata(NTT) / Shigeyuki Oba(Kyoto Univ.)

Paper Information
Registration To Technical Committee on Infomation-Based Induction Sciences and Machine Learning
Language JPN
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.)
Date 2020-03-11
Paper # IBISML2019-48
Volume (vol) vol.119
Number (no) IBISML-476
Page pp.pp.101-105(IBISML),
#Pages 5
Date of Issue 2020-03-03 (IBISML)