most citedUnraveling the Key of Machine Learning-based Android Malware Detection

4 citations · 4 across the 1 of their papers we have counts for

collaborators

2 papers

cs.CR2026★ 4 cited

Unraveling the Key of Machine Learning-based Android Malware Detection

Jiahao Liu, Jun Zeng, Fabio Pierazzi +3

With the rapid advancement of machine learning (ML), ML-based Android malware detection has gained significant popularity due to its ability to automatically learn malicious patter…

cs.CR2024

MASKDROID: Robust Android Malware Detection with Masked Graph Representations

Jingnan Zheng, Jiaohao Liu, An Zhang +4

Android malware attacks have posed a severe threat to mobile users, necessitating a significant demand for the automated detection system. Among the various tools employed in malwa…