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Disambiguation of "Babaagba, Kehinde O."

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Automatic Generation of Adversarial Metamorphic Malware Using MAP-Elites.

, , and . EvoApplications, volume 12104 of Lecture Notes in Computer Science, page 117-132. Springer, (2020)

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Michael Olatunde Kehinde

O Manuwald

O Nommensen

O Otsuka

-O Rothhaupt

 

Other publications of authors with the same name

Nowhere Metamorphic Malware Can Hide - A Biological Evolution Inspired Detection Scheme., , and . DependSys, volume 1123 of Communications in Computer and Information Science, page 369-382. Springer, (2019)Toward machine intelligence that learns to fingerprint polymorphic worms in IoT., , , , , and . Int. J. Intell. Syst., 37 (10): 7058-7078 (2022)Automatic Generation of Adversarial Metamorphic Malware Using MAP-Elites., , and . EvoApplications, volume 12104 of Lecture Notes in Computer Science, page 117-132. Springer, (2020)A Generative Adversarial Network Based Approach to Malware Generation Based on Behavioural Graphs., , and . LOD (2), volume 13811 of Lecture Notes in Computer Science, page 32-46. Springer, (2022)Evolutionary Based Transfer Learning Approach to Improving Classification of Metamorphic Malware., and . EvoApplications@EvoStar, volume 13989 of Lecture Notes in Computer Science, page 161-176. Springer, (2023)A Generative Neural Network for Enhancing Android Metamorphic Malware Detection based on Behaviour Profiling., , and . DSC, page 1-9. IEEE, (2022)Image Forgery Detection Using Cryptography and Deep Learning., and . BDTA, volume 555 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, page 62-78. Springer, (2023)Improving Classification of Metamorphic Malware by Augmenting Training Data with a Diverse Set of Evolved Mutant Samples., , and . CEC, page 1-7. IEEE, (2020)Can Federated Models Be Rectified Through Learning Negative Gradients?, , and . BDTA, volume 555 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, page 18-32. Springer, (2023)An Evolutionary based Generative Adversarial Network Inspired Approach to Defeating Metamorphic Malware., and . GECCO Companion, page 1753-1759. ACM, (2023)