| Presentation | 2020-03-02 A Pattern Recognition Method Using Secure Sparse Representations in L0 Norm Minimization Takayuki Nakachi, Yitu Wang, Hitoshi Kiya, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In this paper, we propose a privacy-preserving pattern recognition method using encrypted sparse representations in L0 norm minimization, and evaluate the effectiveness of the proposed scheme. Sparse modeling is drawing attention as an information processing model for extracting useful information hidden in a large amount of data. The effectiveness of sparse coding has been confirmed in the areas of image processing, and data analysis etc. Previously, we proposed secure sparse coding for image compression and pattern recognition which works in the encrypted domain. However, the estimated sparse coefficients are not encrypted while the input images are encrypted. It leads potential risks that some information of data statistics can leak through the statistical analysis of the extracted sparse coefficients. We propose a pattern recognition method while keeping sparse coefficients encrypted. Finally, we demonstrate its excellent recognition performance and the security strength for face recognition. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Pattern Recognition / Face Recognition / Sparse Coding / Sparse Representations / Random Unitary Transform / Secure Computation |
| Paper # | EA2019-130,SIP2019-132,SP2019-79 |
| Date of Issue | 2020-02-24 (EA, SIP, SP) |
| Conference Information | |
| Committee | SP / EA / SIP |
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| Conference Date | 2020/3/2(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Okinawa Industry Support Center |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Hisashi Kawai(NICT) / Kenichi Furuya(Oita Univ.) / Naoyuki Aikawa(TUS) |
| Vice Chair | Akinobu Ri(Nagoya Inst. of Tech.) / Suehiro Shimauchi(Kanazawa Inst. of Tech.) / Shigeto Takeoka(Shizuoka Inst. of Science and Tech.) / Kazunori Hayashi(Osaka City Univ) / Yukihiro Bandou(NTT) |
| Secretary | Akinobu Ri(Kyoto Univ.) / Suehiro Shimauchi(Waseda Univ.) / Shigeto Takeoka(NHK) / Kazunori Hayashi(Univ. of Tokyo) / Yukihiro Bandou(Hiroshima Univ.) |
| Assistant | Tomoki Koriyama(Univ. of Tokyo) / Yusuke Ijima(NTT) / Keisuke Imoto(Ritsumeikan Univ.) / Daisuke Morikawa(Toyama Pref Univ.) / Kenjiro Sugimoto(Waseda Univ.) |
| Paper Information | |
| Registration To | Technical Committee on Speech / Technical Committee on Engineering Acoustics / Technical Committee on Signal Processing |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A Pattern Recognition Method Using Secure Sparse Representations in L0 Norm Minimization |
| Sub Title (in English) | |
| Keyword(1) | Pattern Recognition |
| Keyword(2) | Face Recognition |
| Keyword(3) | Sparse Coding |
| Keyword(4) | Sparse Representations |
| Keyword(5) | Random Unitary Transform |
| Keyword(6) | Secure Computation |
| 1st Author's Name | Takayuki Nakachi |
| 1st Author's Affiliation | Nippon Telegraph and Telephone Corporation(NTT) |
| 2nd Author's Name | Yitu Wang |
| 2nd Author's Affiliation | Nippon Telegraph and Telephone Corporation(NTT) |
| 3rd Author's Name | Hitoshi Kiya |
| 3rd Author's Affiliation | Tokyo Metropolitan University(Tokyo Metro. Univ.) |
| Date | 2020-03-02 |
| Paper # | EA2019-130,SIP2019-132,SP2019-79 |
| Volume (vol) | vol.119 |
| Number (no) | EA-439,SIP-440,SP-441 |
| Page | pp.pp.169-174(EA), pp.169-174(SIP), pp.169-174(SP), |
| #Pages | 6 |
| Date of Issue | 2020-02-24 (EA, SIP, SP) |