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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 7 of 7  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
PRMU, IPSJ-CVIM, MVE [detail] 2016-01-22
16:05
Osaka   a Note on a Privacy-Preserving Method for Distributed Regularized Logistic Regression
Hideyuki Masui, Nozomi Miya, Toshiyasu Matsushima (Waseda Univ.) PRMU2015-131 MVE2015-53
In this paper, we study a privacy-preserving logistic regression. We consider the situation that two users have differen... [more] PRMU2015-131 MVE2015-53
pp.281-286
COMP 2015-10-02
10:30
Tokyo   Online Bayesian estimation of Randomized Response models
Tota Suko, Shunsuke Horii (Waseda Univ) COMP2015-23
In this paper, we treat the randomized-response technique. This is the estimation method for population proportion of a ... [more] COMP2015-23
pp.7-11
ASN 2014-05-30
15:10
Tokyo Convention Hall, RCAST, The University of Tokyo [Encouragement Talk] Privacy-Preserving Data Mining with Perturbation for Multidimensional Data
Shunsuke Aoki, Kaoru Sezaki (Univ. of Tokyo) ASN2014-37
With the rapid spread of utilization of personal data in cyber and physical world, privacy-preserving data mining become... [more] ASN2014-37
pp.143-147
IBISML 2013-07-18
15:10
Tokyo Nishiwaseda Campus (Waseda univ.) Privacy-preserving Online Logistic Regression Based on Homomorphic Encryption
Shuang Wu, Junpei Kawamoto (Univ. of Tsukuba), Hiroaki Kikuchi (Meiji Univ.), Jun Sakuma (Univ. of Tsukuba) IBISML2013-10
Preserve the privacy of personal information when conducting statistical analysis has attracted much attention in machin... [more] IBISML2013-10
pp.67-74
PRMU, IBISML, IPSJ-CVIM
(Joint) [detail]
2012-09-02
10:00
Tokyo   A Survey on Fairness/Discrimination-Aware Mining
Toshihiro Kamishima (AIST) PRMU2012-30 IBISML2012-13
Fairness-aware / discrimination-aware mining is data analysis techniques while keeping aware of fairness, discrimination... [more] PRMU2012-30 IBISML2012-13
pp.1-8
IBISML 2011-03-28
15:50
Osaka Nakanoshima Center, Osaka Univ. Privacy-preserving mining of frequent closed patterns using ZDDs
Keisuke Ootaki, Akihiro Yamamoto (Kyoto Univ.) IBISML2010-111
In this paper, we propose new methods for privacy-preserving mining of frequent closed patterns from horizontally partit... [more] IBISML2010-111
pp.49-54
IN 2011-01-20
15:10
Osaka Osaka Univ. [Invited Talk] Data Masking and Traceability for Inter-Cloud Data Security
Kouichi Itoh, Yoshinori Katayama, Mebae Ushida, Gao Jie, Fumihiko Kozakura, Hiroshi Tsuda (Fujitsu Laboratories) IN2010-129
The use of cloud computing in business is expanding at a rapid clip in recent years. However, security of the data store... [more] IN2010-129
pp.65-70
 Results 1 - 7 of 7  /   
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