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A multi-view context-aware approach to Android malware detection and malicious code localization., , , and . Empir. Softw. Eng., 23 (3): 1222-1274 (2018)Detection and classification of malicious JavaScript via attack behavior modelling., , , , , and . ISSTA, page 48-59. ACM, (2015)BinGo: cross-architecture cross-OS binary search., , , , , and . SIGSOFT FSE, page 678-689. ACM, (2016)Supporting Cross-language Cross-project Bug Localization Using Pre-trained Language Models., , , and . CoRR, (2024)A scalable approach for malware detection through bounded feature space behavior modeling., , , , and . ASE, page 312-322. IEEE, (2013)Detection of Buffer Overflow Vulnerabilities in C/C++ with Pattern Based Limited Symbolic Evaluation., , , , and . COMPSAC Workshops, page 559-564. IEEE Computer Society, (2012)Application of Multi-objective Bee Colony Optimization Algorithm to Automated Red Teaming., , and . WSC, page 1798-1808. IEEE, (2009)graph2vec: Learning Distributed Representations of Graphs., , , , , and . CoRR, (2017)Scalable analysis for malware and vulnerability detection in binaries. Nanyang Technological University, Singapore, (2018)Evolvable simulations applied to Automated Red Teaming: A preliminary study., , , and . WSC, page 1444-1455. IEEE, (2010)