Name
Abstract | ||
|---|---|---|
Convolutional neural networks (CNN) is a popular architecture in machine learning for its predictive power, notably in computer vision and medical image analysis. Its great predictive power requires extensive computation, which encourages model owners to host the prediction service in a cloud platform. This article proposes a CNN prediction scheme that preserves privacy in the outsourced setting, ... |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/TDSC.2020.3029899 | IEEE Transactions on Dependable and Secure Computing |
Keywords | DocType | Volume |
Cryptography,Computational modeling,Servers,Predictive models,Privacy,Convolutional neural networks | Journal | 19 |
Issue | ISSN | Citations |
3 | 1545-5971 | 0 |
PageRank | References | Authors |
0.34 | 23 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Minghui Li | 1 | 18 | 4.67 |
| Sherman S. M. Chow | 2 | 1870 | 98.03 |
| Shengshan Hu | 3 | 0 | 0.68 |
| Yuejing Yan | 4 | 0 | 0.34 |
| Chao Shen | 5 | 421 | 46.21 |
| Qian Wang | 6 | 3091 | 152.46 |