Paper Abstract and Keywords |
Presentation |
2022-03-09 16:50
Fairness Testing of Machine Learning Software through a Combinatorial Approach Daniel Perez Morales (AIST/Keio Univ.), Takashi Kitamura (AIST), Shingo Takada (Keio Univ.) KBSE2021-50 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Machine learning (ML) can be used in decision-making algorithms or classifiers. These classifiers must be tested looking for discrimination. It is an unintended behavior and can disfavor certain individuals based on their protected attributes, such as race or gender. Aequitas, a well-known black-box technique for fairness testing, tests ML software to find discrimination. Although Aequitas has several technical advantages, it largely relies on random sampling. We propose Coverage-Guided Fairness Testing (CGFT). CGFT applies combinatorial t-way testing when searching for discriminatory data. We evaluate CGFT with Aequitas, showing an improvement in the number of discrimination found using CGFT. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Fairness testing / Combinatorial testing / Machine learning / / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 121, no. 424, KBSE2021-50, pp. 54-59, March 2022. |
Paper # |
KBSE2021-50 |
Date of Issue |
2022-03-02 (KBSE) |
ISSN |
Online edition: ISSN 2432-6380 |
Copyright and reproduction |
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) |
Download PDF |
KBSE2021-50 |
Conference Information |
Committee |
KBSE |
Conference Date |
2022-03-09 - 2022-03-10 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Online (Zoom) |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
General, Student |
Paper Information |
Registration To |
KBSE |
Conference Code |
2022-03-KBSE |
Language |
English |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Fairness Testing of Machine Learning Software through a Combinatorial Approach |
Sub Title (in English) |
|
Keyword(1) |
Fairness testing |
Keyword(2) |
Combinatorial testing |
Keyword(3) |
Machine learning |
Keyword(4) |
|
Keyword(5) |
|
Keyword(6) |
|
Keyword(7) |
|
Keyword(8) |
|
1st Author's Name |
Daniel Perez Morales |
1st Author's Affiliation |
National Institute of Advanced Industrial Science and Keio Univ. (AIST/Keio Univ.) |
2nd Author's Name |
Takashi Kitamura |
2nd Author's Affiliation |
National Institute of Advanced Industrial Science (AIST) |
3rd Author's Name |
Shingo Takada |
3rd Author's Affiliation |
Keio University (Keio Univ.) |
4th Author's Name |
|
4th Author's Affiliation |
() |
5th Author's Name |
|
5th Author's Affiliation |
() |
6th Author's Name |
|
6th Author's Affiliation |
() |
7th Author's Name |
|
7th Author's Affiliation |
() |
8th Author's Name |
|
8th Author's Affiliation |
() |
9th Author's Name |
|
9th Author's Affiliation |
() |
10th Author's Name |
|
10th Author's Affiliation |
() |
11th Author's Name |
|
11th Author's Affiliation |
() |
12th Author's Name |
|
12th Author's Affiliation |
() |
13th Author's Name |
|
13th Author's Affiliation |
() |
14th Author's Name |
|
14th Author's Affiliation |
() |
15th Author's Name |
|
15th Author's Affiliation |
() |
16th Author's Name |
|
16th Author's Affiliation |
() |
17th Author's Name |
|
17th Author's Affiliation |
() |
18th Author's Name |
|
18th Author's Affiliation |
() |
19th Author's Name |
|
19th Author's Affiliation |
() |
20th Author's Name |
|
20th Author's Affiliation |
() |
Speaker |
Author-1 |
Date Time |
2022-03-09 16:50:00 |
Presentation Time |
30 minutes |
Registration for |
KBSE |
Paper # |
KBSE2021-50 |
Volume (vol) |
vol.121 |
Number (no) |
no.424 |
Page |
pp.54-59 |
#Pages |
6 |
Date of Issue |
2022-03-02 (KBSE) |
|