Title
Adversarial defense via self-orthogonal randomization super-network
Abstract
•Analyze the robustness and limitations of ensemble based models.•Propose Self-Orthogonal Randomization Super-networks based defense method.•Achieve the state-the-the-art defense performance.
Year
DOI
Venue
2021
10.1016/j.neucom.2021.04.062
Neurocomputing
Keywords
DocType
Volume
Adversarial Defense,Self-Orthogonal Randomization Super-network
Journal
452
ISSN
Citations 
PageRank 
0925-2312
0
0.34
References 
Authors
0
8
Name
Order
Citations
PageRank
Huanyu Bian111.71
Dongdong Chen25219.10
Kui Zhang300.34
Hang Zhou47214.04
X. Dong5338.20
Wenbo Zhou6296.28
Weiming Zhang7110488.72
Nenghai Yu82238183.33