| Presentation | 2021-06-24 Privacy-Preserving Secure Computation of Gaussian Process Regression Takayuki Nakachi, Yitu Wang, |
|---|---|
| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In this paper, we propose Gaussian Process Regression (GPR) for encrypted data generated based on random unitary transformation and evaluate its performance. In recent years, computational forms that utilize computational resources provided by providers using edge and cloud services have rapidly become widespread. However, there are concerns about problems such as data fraud, leakage, and privacy invasion due to lack of reliability of providers and accidents. This paper examines the secure Gaussian process regression method that takes privacy protection into consideration. It is shown that the secure operation is established even when there is a non-linear relationship between the input data and the output data. Finally, as an application example of the secure Gaussian process regression, the disease progression is predicted using clinical data of diabetes, and the effectiveness of the proposed method is verified by simulation. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Machine Learning / Gaussian Process / Random Unitary Transformation / Secure Computation / Edge/Cloud Computing |
| Paper # | SIS2021-8 |
| Date of Issue | 2021-06-17 (SIS) |
| Conference Information | |
| Committee | SIS / IPSJ-AVM |
|---|---|
| Conference Date | 2021/6/24(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Intelligent Multimedia Systems, Applied Embedded Systems, Three-Dimensional Image Technology (3DIT), etc. |
| Chair | Noriaki Suetake(Yamaguchi Univ.) / Hiroyuki Kasai(Waseda Univ.) |
| Vice Chair | Tomoaki Kimura(Kanagawa Inst. of Tech.) / Naoto Sasaoka(Tottori Univ.) |
| Secretary | Tomoaki Kimura(National Inst. of Tech., Ube College) / Naoto Sasaoka(NTT) / (NTT) |
| Assistant | Soh Yoshida(Kansai Univ.) / Yoshiaki Makabe(Kanagawa Inst. of Tech.) |
| Paper Information | |
| Registration To | Technical Committee on Smart Info-Media Systems / Special Interest Group on Audio Visual and Multimedia Information Processing |
|---|---|
| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Privacy-Preserving Secure Computation of Gaussian Process Regression |
| Sub Title (in English) | Find patterns and rules from encrypted data |
| Keyword(1) | Machine Learning |
| Keyword(2) | Gaussian Process |
| Keyword(3) | Random Unitary Transformation |
| Keyword(4) | Secure Computation |
| Keyword(5) | Edge/Cloud Computing |
| 1st Author's Name | Takayuki Nakachi |
| 1st Author's Affiliation | University of the Ryukyus(Univ. of the Ryukyus) |
| 2nd Author's Name | Yitu Wang |
| 2nd Author's Affiliation | Nippon Telegraph and Telephone Corporation(NTT) |
| Date | 2021-06-24 |
| Paper # | SIS2021-8 |
| Volume (vol) | vol.121 |
| Number (no) | SIS-73 |
| Page | pp.pp.43-48(SIS), |
| #Pages | 6 |
| Date of Issue | 2021-06-17 (SIS) |