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A Comprehensive Study of Learning-based Android Malware Detectors under Challenging Environments.

, , , , , and . ICSE, page 12:1-12:13. ACM, (2024)

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RISC: Risk Assessment of Instance Selection in Cloud Markets., , and . ICA3PP (1), volume 11334 of Lecture Notes in Computer Science, page 59-74. Springer, (2018)Semi-supervised anomaly detection with contamination-resilience and incremental training., , , , , , , and . Eng. Appl. Artif. Intell., (2024)A Comprehensive Study of Learning-based Android Malware Detectors under Challenging Environments., , , , , and . ICSE, page 12:1-12:13. ACM, (2024)Cost risk analysis for instance recommendation in a sustainable Cloud-cyber-physical system framework., , , , and . Softw. Pract. Exp., 51 (11): 2317-2336 (2021)Recent Advances in Concept Drift Adaptation Methods for Deep Learning., , , , , , and . IJCAI, page 5654-5661. ijcai.org, (2022)Uncovering and Mitigating the Impact of Code Obfuscation on Dataset Annotation with Antivirus Engines., , , , , , and . ISSTA, page 553-565. ACM, (2024)Robust Android Malware Detection against Adversarial Example Attacks., , , , , and . WWW, page 3603-3612. ACM / IW3C2, (2021)Black-box Adversarial Example Attack towards FCG Based Android Malware Detection under Incomplete Feature Information., , , , , , and . USENIX Security Symposium, page 1181-1198. USENIX Association, (2023)Trace-agnostic and Adversarial Training-resilient Website Fingerprinting Defense., , , , , and . INFOCOM, page 211-220. IEEE, (2024)Leavs: A Learning-Enabled Autonomous Vehicle Simulation Platform., , , and . ICCSIP (2), volume 1006 of Communications in Computer and Information Science, page 93-103. Springer, (2018)