Paper Abstract and Keywords |
Presentation |
2018-11-05 15:10
[Poster Presentation]
Differential Privacy for Likelihood Ratio Test Arashi Haishima (Univ. of Tsukuba), Jun Sakuma (Univ. of Tsukuba/RIKEN) IBISML2018-86 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Likelihood ratio test of logistic regression commonly used when testing whether an attribute of data significantly influences another attribute after subtracting the influence of confounding factors. Homercite{Homer} suggested publication of test statistics of likelihood ratio test may cause privacy violation if the data contains personal information. In this study, we propose a method to realize likelihood ratio test with guarantee of differential privacy. Differential privacy is achieved by perturbing statistics to be disclosed with additive noise. When applying this method to likelihood ratio test, differential privacy is guaranteed while the significance level of the test is not properly controlled due to the noise added to the statistics. We present a method to realize differentially private likelihood ratio test for logistic regression with controlling the significance level of the test appropriately. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
likelihood ratio test / differential privacy / laplace mechanism / output perturbation / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 118, no. 284, IBISML2018-86, pp. 313-320, Nov. 2018. |
Paper # |
IBISML2018-86 |
Date of Issue |
2018-10-29 (IBISML) |
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) |
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IBISML2018-86 |
Conference Information |
Committee |
IBISML |
Conference Date |
2018-11-05 - 2018-11-07 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Hokkaido Citizens Activites Center (Kaderu 2.7) |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Information-Based Induction Science Workshop (IBIS2018) |
Paper Information |
Registration To |
IBISML |
Conference Code |
2018-11-IBISML |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Differential Privacy for Likelihood Ratio Test |
Sub Title (in English) |
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likelihood ratio test |
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differential privacy |
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laplace mechanism |
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output perturbation |
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1st Author's Name |
Arashi Haishima |
1st Author's Affiliation |
University of Tsukuba (Univ. of Tsukuba) |
2nd Author's Name |
Jun Sakuma |
2nd Author's Affiliation |
University of Tsukuba/RIKEN (Univ. of Tsukuba/RIKEN) |
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Speaker |
Author-1 |
Date Time |
2018-11-05 15:10:00 |
Presentation Time |
180 minutes |
Registration for |
IBISML |
Paper # |
IBISML2018-86 |
Volume (vol) |
vol.118 |
Number (no) |
no.284 |
Page |
pp.313-320 |
#Pages |
8 |
Date of Issue |
2018-10-29 (IBISML) |