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Enhancing Deep Learning with Resilient Adversarial Network (RANet): An Advanced Adversarial Resilience Training Framework for Robust Image Classification

Crossref DOI link: https://doi.org/10.1007/s11063-025-11777-3

Published Online: 2025-06-20

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Alyahyan, Saleh
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Text and Data Mining valid from 2025-06-20

Version of Record valid from 2025-06-20
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Article History

Accepted: 20 May 2025

First Online: 20 June 2025

Declarations

:

: The authors declare no competing interests.

: This research study solely involves the use of historical datasets. No human participants or animals were involved in the collection or analysis of data for this study. As a result, ethical approval was not required.

: No informed consent procedures were conducted since this research study did not involve human participants or animals. The data used for analysis was publicly available and did not require informed consent.The author affirms their commitment to conducting research according to the highest ethical standards and ensuring the accuracy, transparency, and reliability of the presented findings.

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