| Presentation | 2014-11-17 Differential Privacy on Linear Regression Model of Crowdsensing KHAI Tran QUANG, Kazuto FUKUCHI, Jun SAKUMA, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Learning statistic models using the data collected from crowd is one of the important tasks in the crowdsensing. Crowdsensing allows statistical model building by exploiting individuals as sensors; we must pay attention to privacy concerns. In this research, we deal with the problem of privacy preservation on model learning by means of crowdsensing in the following setting. Data contributors share data with a server, then the server learns a linear regression model from the collected data and provides the model to the model user. In the context of model learning by crowdsensing, two different privacy concerns arise: preserving privacy from server (preserving privacy for data sharing) and preserving privacy from model users (preserving privacy for model publication), but until recently there is no study dealing with both. The statistic model learnt in our framework preserves privacy from server by perturbing data with normal distribution noise, and at the same time, preserves privacy from users under guarantee of differential privacy. We show that the sample complexity of the generalization loss obtained by our framework is O(1/√ |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | differential privacy / crowdsensing / linear regression |
| Paper # | IBISML2014-47 |
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| Conference Information | |
| Committee | IBISML |
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| Conference Date | 2014/11/10(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Information-Based Induction Sciences and Machine Learning (IBISML) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Differential Privacy on Linear Regression Model of Crowdsensing |
| Sub Title (in English) | |
| Keyword(1) | differential privacy |
| Keyword(2) | crowdsensing |
| Keyword(3) | linear regression |
| 1st Author's Name | KHAI Tran QUANG |
| 1st Author's Affiliation | Graduate School of Systems and Information Engineering, University of Tsukuba() |
| 2nd Author's Name | Kazuto FUKUCHI |
| 2nd Author's Affiliation | Graduate School of Systems and Information Engineering, University of Tsukuba |
| 3rd Author's Name | Jun SAKUMA |
| 3rd Author's Affiliation | Japan Science and Technology Agency CREST:Graduate School of Systems and Information Engineering, University of Tsukuba |
| Date | 2014-11-17 |
| Paper # | IBISML2014-47 |
| Volume (vol) | vol.114 |
| Number (no) | 306 |
| Page | pp.pp.- |
| #Pages | 8 |
| Date of Issue | |