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A Framework for Enhancing Deep Neural Networks Against Adversarial Malware.

, , , and . IEEE Trans. Netw. Sci. Eng., 8 (1): 736-750 (2021)

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Adapting Meta Knowledge with Heterogeneous Information Network for COVID-19 Themed Malicious Repository Detection., , , and . IJCAI, page 3684-3690. ijcai.org, (2021)Few-Shot Learning on Graphs., , , , , , and . IJCAI, page 5662-5669. ijcai.org, (2022)SecMD: Make Machine Learning More Secure Against Adversarial Malware Attacks., and . Australasian Conference on Artificial Intelligence, volume 10400 of Lecture Notes in Computer Science, page 76-89. Springer, (2017)Detecting Opioid Users from Twitter and Understanding Their Perceptions Toward MAT., , , , and . ICDM Workshops, page 502-509. IEEE Computer Society, (2017)Make Evasion Harder: An Intelligent Android Malware Detection System., , , and . IJCAI, page 5279-5283. ijcai.org, (2018)AiDroid: When Heterogeneous Information Network Marries Deep Neural Network for Real-time Android Malware Detection., , , , , , , and . CoRR, (2018)α-Satellite: An AI-driven System and Benchmark Datasets for Hierarchical Community-level Risk Assessment to Help Combat COVID-19., , , , , , , and . CoRR, (2020)Identifying Illicit Drug Dealers on Instagram with Large-scale Multimodal Data Fusion., , , , and . ACM Trans. Intell. Syst. Technol., 12 (5): 59:1-59:23 (2021)Heterogeneous Temporal Graph Neural Network., , , and . SDM, page 657-665. SIAM, (2022)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)