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Author

Xiaowei Huang

University of Liverpool

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Open access Aug 2026

An advanced framework for malware detection using adversarial learning

A systematic framework to enhance adversarial robustness is proposed, validated on the Malimg dataset and supersedes previous approaches by 13.15% in terms of the evasion rate and 37.34% in terms of retraining success.

Muhammad Arham Tariq, Allah Bux Sargano, Z. Habib et al. · 0 citations

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