| Presentation | 2018-09-25 Deep learning and safety Masaomi Kimura, |
|---|---|
| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | A text mining technique was applied to abstracts of articles about deep learning done in 2018 in order to classify them. Moreover, we illustrated a principle of adversarial perturbation, which leads deep neural networks to wrong outputs. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Deep learning / Safety |
| Paper # | SSS2018-20 |
| Date of Issue | 2018-09-18 (SSS) |
| Conference Information | |
| Committee | SSS |
|---|---|
| Conference Date | 2018/9/25(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Masaomi Kimura(Shibaura Inst. of Tech.) |
| Vice Chair | Makoto Ito(Tsukuba Univ.) |
| Secretary | Makoto Ito(NPO RDA) |
| Assistant | Koh Kawashima(Oriental Motor) / Sei Takahashi(Nihon Univ.) |
| Paper Information | |
| Registration To | Technical Committee on Safety |
|---|---|
| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Deep learning and safety |
| Sub Title (in English) | |
| Keyword(1) | Deep learning |
| Keyword(2) | Safety |
| 1st Author's Name | Masaomi Kimura |
| 1st Author's Affiliation | Shibaura Institute of Technology(SIT) |
| Date | 2018-09-25 |
| Paper # | SSS2018-20 |
| Volume (vol) | vol.118 |
| Number (no) | SSS-221 |
| Page | pp.pp.5-8(SSS), |
| #Pages | 4 |
| Date of Issue | 2018-09-18 (SSS) |