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

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Malik Al-Essa, Felice Franchini, Stefano Galantucci, Muhammad Imran, Giuseppe Pirlo. Improving robustness and explainability of PE malware classifiers using GAN-Generated Synthetic Adversarial examples. Cybersecurity, 9(1):169, December 2026. [doi]

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