6 citations · 6 across the 2 of their papers we have counts for
2 papers
cs.CR2026
When Label Noise Meets Class Imbalance: A Robust Framework for Android Malware Family Classification
Haolan Zhang, Cuiying Gao, Fulin Zhao +6
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 co…
cs.SE2023★ 6 cited
Black-box Adversarial Example Attack towards FCG Based Android Malware Detection under Incomplete Feature Information
Heng Li, Zhang Cheng, Bang Wu +4
The function call graph (FCG) based Android malware detection methods have recently attracted increasing attention due to their promising performance. However, these methods are su…