Abstract: Graph-based representations of program behavior are a powerful foundation for machine learning-based malware detection. However, the large size and complexity of these behavior graphs pose ...

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Abstract: As cyberattacks grow increasingly sophisticated, modern Intrusion Detection Systems (IDS) demand more advanced techniques to detect malicious behavior. While heterogeneous graph neural ...

DGCPL is a novel dual graph distillation approach for concept prerequisite relation learning. [doi]. Miao Zhang, Jiawei Wang, Jinying Han, Kui Xiao , Zhifei Li, Yan Zhang, Hao Chen, Shihui Wang. DGCPL ...

Biohacking has gone mainstream: What began with fitness trackers and sleep apps now includes hardware implants, with 67% of Americans in a recent survey identifying… ...