MADAR: Efficient Continual Learning for Malware Analysis with Diversity-Aware Replay
Автор: CAMLIS
Загружено: 2025-11-13
Просмотров: 19
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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.
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