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| Presentation | 2020-03-10 13:50 A Statistical Decision-Theoretic Approach for Measuring Privacy Risk in Information Disclosure Problem Alisa Miyashita, Akira Kamatsuka (Waseda Univ.), Takahiro Yoshida (Yokohama College of Commerce), Toshiyasu Matsushima (Waseda Univ.)  IT2019-104 ISEC2019-100 WBS2019-53 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | In this paper, we deal with the problem of database statistics publishing with privacy and utility guarantees. While various privacy and utility metrics have been proposed, purposes of using the statistics for a user and an adversary and their background knowledge about the database have not been specified. We model the user and the adversary’s background knowledge of statistics of the database and distribution for the database. We also model their purposes. Then privacy and utility metrics are defined based on risk functions in the statistical decision theory. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | privacy preserving / statistical decision theory / differential privacy / Bayesian statistics / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 119, no. 473, IT2019-104, pp. 95-100, March 2020. | |
| Paper # | IT2019-104 | |
| Date of Issue | 2020-03-03 (IT, ISEC, WBS) | |
| ISSN | Print edition: ISSN 0913-5685 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 | IT2019-104 ISEC2019-100 WBS2019-53 |
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| Conference Information | |
| Committee | ISEC IT WBS |
| Conference Date | 2020-03-10 - 2020-03-11 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | University of Hyogo |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | joint meeting of IT, ISEC, and WBS |
| Paper Information | |
| Registration To | IT |
| Conference Code | 2020-03-ISEC-IT-WBS |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A Statistical Decision-Theoretic Approach for Measuring Privacy Risk in Information Disclosure Problem |
| Sub Title (in English) | |
| Keyword(1) | privacy preserving |
| Keyword(2) | statistical decision theory |
| Keyword(3) | differential privacy |
| Keyword(4) | Bayesian statistics |
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| 1st Author's Name | Alisa Miyashita |
| 1st Author's Affiliation | Waseda University (Waseda Univ.) |
| 2nd Author's Name | Akira Kamatsuka |
| 2nd Author's Affiliation | Waseda University (Waseda Univ.) |
| 3rd Author's Name | Takahiro Yoshida |
| 3rd Author's Affiliation | Yokohama College of Commerce (Yokohama College of Commerce) |
| 4th Author's Name | Toshiyasu Matsushima |
| 4th Author's Affiliation | Waseda University (Waseda Univ.) |
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| Speaker | Author-1 |
| Date Time | 2020-03-10 13:50:00 |
| Presentation Time | 25 minutes |
| Registration for | IT |
| Paper # | IT2019-104, ISEC2019-100, WBS2019-53 |
| Volume (vol) | vol.119 |
| Number (no) | no.473(IT), no.474(ISEC), no.475(WBS) |
| Page | pp.95-100 |
| #Pages | 6 |
| Date of Issue | 2020-03-03 (IT, ISEC, WBS) |
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