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AiDroid: When Heterogeneous Information Network Marries Deep Neural Network for Real-time Android Malware Detection.

, , , , , , , and . CoRR, (2018)

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iDev: Enhancing Social Coding Security by Cross-platform User Identification Between GitHub and Stack Overflow., , , , , , , and . IJCAI, page 2272-2278. ijcai.org, (2019)ICSD: An Automatic System for Insecure Code Snippet Detection in Stack Overflow over Heterogeneous Information Network., , , , , , , and . ACSAC, page 542-552. ACM, (2018)αCyber: Enhancing Robustness of Android Malware Detection System against Adversarial Attacks on Heterogeneous Graph based Model., , , , , , , , and . CIKM, page 609-618. ACM, (2019)Deep Analysis and Utilization of Malware's Social Relation Network for Its Detection., , , and . APWeb/WAIM Workshops, volume 10612 of Lecture Notes in Computer Science, page 31-42. Springer, (2017)α-Satellite: An AI-driven System and Benchmark Datasets for Hierarchical Community-level Risk Assessment to Help Combat COVID-19., , , , , , , and . CoRR, (2020)AiDroid: When Heterogeneous Information Network Marries Deep Neural Network for Real-time Android Malware Detection., , , , , , , and . CoRR, (2018)$\alpha$-Satellite: An AI-Driven System and Benchmark Datasets for Dynamic COVID-19 Risk Assessment in the United States., , , , , , , , , and . IEEE J. Biomed. Health Informatics, 24 (10): 2755-2764 (2020)Make Evasion Harder: An Intelligent Android Malware Detection System., , , and . IJCAI, page 5279-5283. ijcai.org, (2018)Deep4MalDroid: A Deep Learning Framework for Android Malware Detection Based on Linux Kernel System Call Graphs., , , and . WI Workshops, page 104-111. IEEE Computer Society, (2016)DeepAM: a heterogeneous deep learning framework for intelligent malware detection., , , , and . Knowl. Inf. Syst., 54 (2): 265-285 (2018)