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A Software Environment for Confining Malicious Android Applications via Resource Virtualization.

, , , and . ICECCS, page 208-211. IEEE Computer Society, (2013)

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Characterizing Cryptocurrency-themed Malicious Browser Extensions., , , , , , , and . Proc. ACM Meas. Anal. Comput. Syst., 6 (3): 43:1-43:31 (2021)Scrutinizing Implementations of Smart Home Integrations., , , , , , and . IEEE Trans. Software Eng., 47 (12): 2667-2683 (2021)Adversarial Robustness of Deep Neural Networks: A Survey from a Formal Verification Perspective., , , , , , and . CoRR, (2022)MalModel: Hiding Malicious Payload in Mobile Deep Learning Models with Black-box Backdoor Attack., , , , , and . CoRR, (2024)Inferring Implicit Assumptions and Correct Usage of Mobile Payment Protocols., , , and . SecureComm, volume 238 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, page 469-488. Springer, (2017)Identifying privacy weaknesses from multi-party trigger-action integration platforms., , , , , , , and . ISSTA, page 2-15. ACM, (2021)Wemint:Tainting Sensitive Data Leaks in WeChat Mini-Programs., , , , , , and . ASE, page 1403-1415. IEEE, (2023)Towards Better Generalization for Neural Network-Based SAT Solvers., , , , , , and . PAKDD (2), volume 13281 of Lecture Notes in Computer Science, page 199-210. Springer, (2022)Better Together: Attaining the Triad of Byzantine-robust Federated Learning via Local Update Amplification., , , and . ACSAC, page 201-213. ACM, (2022)A Light-Weight Software Environment for Confining Android Malware., , , , and . SERE (Companion), page 158-167. IEEE, (2014)