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cs.CR2026
From Signals to Behaviors: Evidence-Based Android Malware Detection
Shiwen Song, Yiheng Xiong, Sen Chen +1
Android malware remains a persistent threat, and detecting it accurately is a long-standing open problem. Whether an app is malicious depends on what it actually does and the conte…
cs.CR2026
Towards Understanding and Characterizing Vulnerabilities in Intelligent Connected Vehicles through Real-World Exploits
Yuelin Wang, Yuqiao Ning, Yanbang Sun +7
Intelligent Connected Vehicles (ICVs) are a core component of modern transportation systems, and their security is crucial as it directly relates to user safety. Despite prior rese…
cs.CR2025
FCGHunter: Towards Evaluating Robustness of Graph-Based Android Malware Detection
Shiwen Song, Xiaofei Xie, Ruitao Feng +2
Graph-based detection methods leveraging Function Call Graphs (FCGs) have shown promise for Android malware detection (AMD) due to their semantic insights. However, the deployment…