Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Study on influence of topology in DNN against adversarial attacksopen access

Authors
Shamshiri, SamanehSohn, InsooCho, Juphil
Issue Date
2025
Publisher
IEEE
Keywords
Complex Networks; Network Robustness; NoRegret Learning
Citation
2025 Sixteenth International Conference on Ubiquitous and Future Networks (ICUFN), pp 147 - 149
Pages
3
Indexed
FOREIGN
Journal Title
2025 Sixteenth International Conference on Ubiquitous and Future Networks (ICUFN)
Start Page
147
End Page
149
URI
https://scholarworks.dongguk.edu/handle/sw.dongguk/61883
DOI
10.1109/ICUFN65838.2025.11170013
ISSN
2165-8528
2165-8536
Abstract
In this paper, we introduce a novel complex network optimization method based on no-regret learning technique. Simulation results indicate that the proposed method obtains high robustness performance compared to conventional methods. © 2025 Elsevier B.V., All rights reserved.
Files in This Item
There are no files associated with this item.
Appears in
Collections
College of Engineering > Department of Electronics and Electrical Engineering > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Sohn, In Soo photo

Sohn, In Soo
College of Engineering (Department of Electronics and Electrical Engineering)
Read more

Altmetrics

Total Views & Downloads

BROWSE