2017年10月
Input and Output Privacy-Preserving Linear Regression
IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS
- ,
- ,
- ,
- 巻
- E100D
- 号
- 10
- 開始ページ
- 2339
- 終了ページ
- 2347
- 記述言語
- 英語
- 掲載種別
- 研究論文(学術雑誌)
- DOI
- 10.1587/transinf.2016INP0019
- 出版者・発行元
- IEICE-INST ELECTRONICS INFORMATION COMMUNICATIONS ENG
We build a privacy-preserving system of linear regression protecting both input data secrecy and output privacy. Our system achieves those goals simultaneously via a novel combination of homomorphic encryption and differential privacy dedicated to linear regression and its variants (ridge, LASSO). Our system is proved scalable over cloud servers, and its efficiency is extensively checked by careful experiments.
- リンク情報
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- DOI
- https://doi.org/10.1587/transinf.2016INP0019
- DBLP
- https://dblp.uni-trier.de/rec/journals/ieicet/AonoHPW17
- Web of Science
- https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000417988600009&DestApp=WOS_CPL
- URL
- http://search.ieice.org/bin/summary.php?id=e100-d_10_2339
- URL
- http://dblp.uni-trier.de/db/journals/ieicet/ieicet100d.html#journals/ieicet/AonoHPW17
- ID情報
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- DOI : 10.1587/transinf.2016INP0019
- ISSN : 1745-1361
- DBLP ID : journals/ieicet/AonoHPW17
- Web of Science ID : WOS:000417988600009