MADAR: Efficient Continual Learning for Malware Analysis with Diversity-Aware Replay

Speaker: Mohammad Saidur Rahman Author(s): Mohammad Saidur Rahman; Scott Coull; Qi Yu; Matthew Wright Abstract: This study proposes MADAR, a Continual Learning (CL) framework for malware classification, which addresses catastrophic forgetting by incorporating diversity-aware replay. It demonstrates improved detection accuracy for both Windows and Android malware datasets.