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Improving robustness and explainability of PE malware classifiers using GAN-Generated Synthetic Adversarial examples

Published Online: 2026-05-15

Authors

Al-Essa, Malik

Franchini, Felice

Galantucci, Stefano

Imran, Muhammad

Pirlo, Giuseppe
Funding

Funding for this research was provided by:

Project "European Digital Innovation Hub for Secure Digital Transformation EDIH4DT” - Next Generation EU (PNRR) - M4C2I2.3 (CUP B97H22004920001)

Next Generation EU (CUP H93C22000620001)
License Information

Text and Data Mining valid from 2026-05-15

Version of Record valid from 2026-05-15
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Article History

Received: 13 January 2026

Accepted: 5 May 2026

First Online: 15 May 2026

Declarations

:

: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

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