2 papers
cs.CR2026
FARM: Few-shot Adaptive Malware Family Classification under Concept Drift
Numan Halit Guldemir, Oluwafemi Olukoya, Jesús MartÃnez-del-Rincón
Malware classification models often suffer performance degradation under concept drift due to evolving threat landscapes and the emergence of novel malware families. This paper pre…
cs.CR2025
Addressing malware family concept drift with triplet autoencoder
Numan Halit Guldemir, Oluwafemi Olukoya, Jesús MartÃnez-del-Rincón
Machine learning is increasingly vital in cybersecurity, especially in malware detection. However, concept drift, where the characteristics of malware change over time, poses a cha…