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Improving Multi-objective Evolutionary Influence Maximization in Social Networks.

, , , , and . EvoApplications, volume 10784 of Lecture Notes in Computer Science, page 117-124. Springer, (2018)

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How Machine Learning Is Solving the Binary Function Similarity Problem., , , , , and . USENIX Security Symposium, page 2099-2116. USENIX Association, (2022)Defeating hardware Trojan in microprocessor cores through software obfuscation., , , , , , , , , and 1 other author(s). LATS, page 1-6. IEEE, (2018)Countering Android Malware: A Scalable Semi-Supervised Approach for Family-Signature Generation., , , , , and . IEEE Access, (2018)Evaluating surrogate models for multi-objective influence maximization in social networks., , , , and . GECCO (Companion), page 1258-1265. ACM, (2018)HAIT: Heap Analyzer with Input Tracing., , , and . SECRYPT, page 327-334. SciTePress, (2017)An evolutionary approach to hardware encryption and Trojan-horse mitigation., , , and . DATE, page 1593-1598. IEEE, (2017)An Unsupervised and Noninvasive Model for Predicting Network Resource Demands., , , and . IEEE Internet of Things Journal, 5 (6): 4342-4350 (2018)Challenging Anti-virus Through Evolutionary Malware Obfuscation., , , , and . EvoApplications (2), volume 9598 of Lecture Notes in Computer Science, page 149-162. Springer, (2016)On the Mitigation of Hardware Trojan Attacks in Embedded Processors by Exploiting a Hardware-Based Obfuscator., , , and . IVSW, page 31-37. IEEE, (2018)Multi-objective Evolutionary Algorithms for Influence Maximization in Social Networks., , , , and . EvoApplications (1), volume 10199 of Lecture Notes in Computer Science, page 221-233. (2017)