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Attentional Heterogeneous Graph Neural Network: Application to Program Reidentification.

, , , , , , , , and . SDM, page 693-701. SIAM, (2019)

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Characterizing kernel malware behavior with kernel data access patterns., , and . AsiaCCS, page 207-216. ACM, (2011)Uscope: A scalable unified tracer from kernel to user space., , , , and . NOMS, page 1-8. IEEE, (2014)Deep Program Reidentification: A Graph Neural Network Solution., , , , , , , , and . CoRR, (2018)PerfScope: Practical Online Server Performance Bug Inference in Production Cloud Computing Infrastructures., , , , , , and . SoCC, page 8:1-8:13. ACM, (2014)DeltaPath: Precise and Scalable Calling Context Encoding., , , , , and . CGO, page 109. ACM, (2014)RVFuzzer: Finding Input Validation Bugs in Robotic Vehicles through Control-Guided Testing., , , , , , , , and . USENIX Security Symposium, page 425-442. USENIX Association, (2019)Detecting Malware Injection with Program-DNS Behavior., , , , , , , , , and 1 other author(s). EuroS&P, page 552-568. IEEE, (2020)Defeating Dynamic Data Kernel Rootkit Attacks via VMM-Based Guest-Transparent Monitoring., , , and . ARES, page 74-81. IEEE Computer Society, (2009)Autonomic live adaptation of virtual networked environments in a multidomain infrastructure., , , , and . J. Internet Serv. Appl., 2 (2): 141-154 (2011)SIGL: Securing Software Installations Through Deep Graph Learning., , , , , , , and . CoRR, (2020)