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.
· International Journal of Inf... · 0 citations