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Identifying Mobile Repackaged Applications through Formal Methods., , , , and . ICISSP, page 673-682. SciTePress, (2017)Social Network Polluting Contents Detection through Deep Learning Techniques., , and . IJCNN, page 1-10. IEEE, (2019)Spyware Detection using Temporal Logic., , , , and . ICISSP, page 690-699. SciTePress, (2019)Acquiring and Analyzing App Metrics for Effective Mobile Malware Detection., , , and . IWSPA@CODASPY, page 50-57. ACM, (2016)Malware and Formal Methods: Rigorous Approaches for detecting Malicious Behaviour., , , and . ARES, page 76:1-76:6. ACM, (2017)Cognitive data science methods and models for engineering applications., , , , and . Soft Comput., 23 (19): 9045-9048 (2019)Explainable Deep Learning for Alzheimer Disease Classification and Localisation., , , , , and . AII, page 129-143. (2022)StegWare: A Novel Malware Model Exploiting Payload Steganography and Dynamic Compilation., , , , , , , and . ICISSP, page 741-748. SciTePress, (2023)Ransomware Steals Your Phone. Formal Methods Rescue It., , , and . FORTE, volume 9688 of Lecture Notes in Computer Science, page 212-221. Springer, (2016)Android Collusion: Detecting Malicious Applications Inter-Communication through SharedPreferences., , , and . Inf., 11 (6): 304 (2020)