4 papers
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…
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…
D-GARA: A Dynamic Benchmarking Framework for GUI Agent Robustness in Real-World Anomalies
Sen Chen, Tong Zhao, Yi Bin +3
Developing intelligent agents capable of operating a wide range of Graphical User Interfaces (GUIs) with human-level proficiency is a key milestone on the path toward Artificial Ge…
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…