Preprint
Sep 2026
When Label Noise Meets Class Imbalance: A Robust Framework for Android Malware Family Classification
Machine learning methods for Android malware family classification have achieved high accuracy, but their application is hindered by two major challenges. First, the widely used code obfuscation severely disrupts the automated labeling process and introduces substantial label noise into training datasets. Second, train...
Hao-Lan Zhang, Cui-Ying Gao, Fu-Lin Zhao et al.
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