Dr Kehinde Babaagba's Projects (2)

On the executability and malicious retention of adversarial malware samples generated using adversarial learning. Jan 27, 2023 - Jan 27, 2023
A SICSA Sponsored Research Theme Event
Machine Learning (ML) models have been shown to be vulnerable to adversarial examples designed to fool ML models to classify them as benign rather than malicious. This has led to several research efforts geared... Read More about On the executability and malicious retention of adversarial malware samples generated using adversarial learning..

Evolutionary based Generative Adversarial Learning Approach to Metamorphic Malware Detection Jun 1, 2022 - Aug 31, 2022
Malicious attacks account for a significant portion of attacks to information assets and computer networks in organisations today. More specifically, dangerous groups of malware that transform their code structures between generations such as metamor... Read More about Evolutionary based Generative Adversarial Learning Approach to Metamorphic Malware Detection.