Name
Title | ||
|---|---|---|
3D-Adv: Black-Box Adversarial Attacks against Deep Learning Models through 3D Sensors |
Abstract | ||
|---|---|---|
The combination of deep learning techniques and commercial 3D sensors reveal a bright future as they provide a low cost and convenient method to collect and analyze depth information from the environment for various applications ranging from industrial modeling to mobile face recognition. Despite the abundant research devoted to the development of more accurate, flexible and efficient machine lear... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/DAC18074.2021.9586275 | 2021 58th ACM/IEEE Design Automation Conference (DAC) |
Keywords | DocType | ISSN |
Deep learning,Solid modeling,Analytical models,Three-dimensional displays,Design automation,Face recognition,Data models | Conference | 0738-100X |
ISBN | Citations | PageRank |
978-1-6654-3274-0 | 0 | 0.34 |
References | Authors | |
0 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kaichen Yang | 1 | 6 | 3.56 |
| Xuan-Yi Lin | 2 | 0 | 0.68 |
| Yixin Sun | 3 | 0 | 0.34 |
| Tsung-Yi Ho | 4 | 59 | 21.63 |
| Yier Jin | 5 | 999 | 85.70 |