Name
Abstract | ||
|---|---|---|
Publishing/sharing pretrained deep neural network (DNN) models is a common practice in the community of computer vision. The increasing popularity of pretrained models has made it a serious concern: how to protect the intellectual properties of model owners and avert illegal usages by malicious attackers. This article aims at developing a framework for watermarking DNNs, with a particular focus on... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/TNNLS.2020.2991378 | IEEE Transactions on Neural Networks and Learning Systems |
Keywords | DocType | Volume |
Watermarking,Image processing,Task analysis,Computational modeling,Training,Data models,Manifolds | Journal | 32 |
Issue | ISSN | Citations |
5 | 2162-237X | 0 |
PageRank | References | Authors |
0.34 | 8 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yuhui Quan | 1 | 270 | 21.69 |
| Huan Teng | 2 | 4 | 1.05 |
| Yixin Chen | 3 | 4326 | 299.19 |
| Hui Ji | 4 | 1105 | 49.31 |