Study on Influence of Topology in Dnn Against Adversarial Attacks

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publicationICUFN 2025 - 16th International Conference on Ubiquitous and Future Networks
PublisherIEEE Computer Society
Pages147-149
Number of pages3
ISBN (Electronic)9798331524876
DOIs
StatePublished - 2025
Event16th International Conference on Ubiquitous and Future Networks, ICUFN 2025 - Hybrid, Lisbon, Portugal
Duration: 8 Jul 202511 Jul 2025

Publication series

NameInternational Conference on Ubiquitous and Future Networks, ICUFN
ISSN (Print)2165-8528
ISSN (Electronic)2165-8536

Conference

Conference16th International Conference on Ubiquitous and Future Networks, ICUFN 2025
Country/TerritoryPortugal
CityHybrid, Lisbon
Period8/07/2511/07/25

Keywords

  • Complex Networks
  • Network Robustness
  • NoRegret Learning

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