6 citations · 6 across the 2 of their papers we have counts for
3 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.CR2026
When Agents See Differently: Exposing UI Desynchronization Threats in Mobile Agents
Heng Li, Fulin Zhao, Zhe Geng +3
Mobile agents are increasingly capable of autonomously interacting with mobile applications and performing consequential actions on behalf of users. Effective human oversight of su…
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…