| Paper Abstract and Keywords |
| Presentation |
2020-02-27 11:30
A High Embedding Capacity Watermarking Technique Based on Regularization for Convolutional Neural Network Model
Han He, Seok Kang, Yuji Sakamoto (Hokkaido Univ.) |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
CNN (Convolutional Neural Network) is becoming more and more popular. And pre-trained CNN models can be accessed easily. On the other side, the unauthorized use of pre-trained CNN models is regarded as a problem. To solve this problem, digital watermarking technique for CNN models has been proposed. However, the statistical characteristics of weight of CNN model will be changed and the embedding capacity is little. In this paper, we propose a high embedding capacity watermarking technique for CNN models. In our approach, we use a new parameter regularizer and embed the mapped watermark message into the weight of CNN model by regularization. The experiments result shows that our approach can reach higher capacity and reduce the impact on statistical characteristics without impairing the performance of network. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
Digital watermark / Data Hiding / CNN / / / / / |
| Reference Info. |
ITE Tech. Rep., vol. 44, no. 6, ME2020-36, pp. 41-46, Feb. 2020. |
| Paper # |
ME2020-36 |
| Date of Issue |
2020-02-20 (MMS, HI, ME, AIT) |
| ISSN |
Print edition: ISSN 1342-6893 Online edition: ISSN 2424-1970 |
| Download PDF |
|
| Conference Information |
| Committee |
HI IEICE-IE IEICE-ITS MMS ME AIT |
| Conference Date |
2020-02-27 - 2020-02-28 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
Hokkaido Univ. |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
Image Processing, etc. |
| Paper Information |
| Registration To |
ME |
| Conference Code |
2020-02-HI-IE-ITS-MMS-ME-AIT |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
A High Embedding Capacity Watermarking Technique Based on Regularization for Convolutional Neural Network Model |
| Sub Title (in English) |
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| Keyword(1) |
Digital watermark |
| Keyword(2) |
Data Hiding |
| Keyword(3) |
CNN |
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| 1st Author's Name |
Han He |
| 1st Author's Affiliation |
Hokkaido University (Hokkaido Univ.) |
| 2nd Author's Name |
Seok Kang |
| 2nd Author's Affiliation |
Hokkaido University (Hokkaido Univ.) |
| 3rd Author's Name |
Yuji Sakamoto |
| 3rd Author's Affiliation |
Hokkaido University (Hokkaido Univ.) |
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| Speaker |
Author-1 |
| Date Time |
2020-02-27 11:30:00 |
| Presentation Time |
15 minutes |
| Registration for |
ME |
| Paper # |
MMS2020-8, HI2020-8, ME2020-36, AIT2020-8 |
| Volume (vol) |
vol.44 |
| Number (no) |
no.6 |
| Page |
pp.41-46 |
| #Pages |
6 |
| Date of Issue |
2020-02-20 (MMS, HI, ME, AIT) |