3 papers
cs.CR2026
A Multi-task Mixture of Experts Framework for Malware Classification, Packing Detection, and Family Attribution
Jithin S., Roshin Sleeba C., Anvin Mariya P. B. +4
Malware classification remains a challenging problem due to its inherent heterogeneity, the presence of packed binaries, and the diverse distribution of malware families. Tradition…
cs.CR2026
Towards Certified Malware Detection: Provable Guarantees Against Evasion Attacks
Nandakrishna Giri, Asmitha K. A., Serena Nicolazzo +2
Machine learning-based static malware detectors remain vulnerable to adversarial evasion techniques, such as metamorphic engine mutations. To address this vulnerability, we propose…
cs.CR2024
Deep Learning Fusion For Effective Malware Detection: Leveraging Visual Features
Jahez Abraham Johny, Vinod P., Asmitha K. A. +3
Malware has become a formidable threat as it has been growing exponentially in number and sophistication, thus, it is imperative to have a solution that is easy to implement, relia…