Kehinde O. Babaagba

According to our database, Kehinde O. Babaagba authored at least 11 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Emotion Recognition on Social Media Using Natural Language Processing (NLP) Techniques.

Luis Romero Gomez, Tess Watt, Kehinde O. Babaagba, Christos Chrysoulas, Aydin E. Homay, Raghuraman Rangarajan, Xiaodong Liu

Proceedings of the 2023 6th International Conference on Information Science and Systems, 2023

An Evolutionary based Generative Adversarial Network Inspired Approach to Defeating Metamorphic Malware.

Kehinde O. Babaagba, Jordan Wylie

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

Evolutionary Based Transfer Learning Approach to Improving Classification of Metamorphic Malware.

Kehinde O. Babaagba, Mayowa Ayodele

Proceedings of the Applications of Evolutionary Computation - 26th European Conference, 2023

Can Federated Models Be Rectified Through Learning Negative Gradients?

Ahsen Tahir, Zhiyuan Tan, Kehinde O. Babaagba

Proceedings of the Big Data Technologies and Applications, 2023

Image Forgery Detection Using Cryptography and Deep Learning.

Ayodeji Oke, Kehinde O. Babaagba

Proceedings of the Big Data Technologies and Applications, 2023

2022

Toward machine intelligence that learns to fingerprint polymorphic worms in IoT.

Fangwei Wang, Shaojie Yang, Changguang Wang, Qingru Li, Kehinde O. Babaagba, Zhiyuan Tan

Int. J. Intell. Syst., 2022

A Generative Adversarial Network Based Approach to Malware Generation Based on Behavioural Graphs.

Ross A. J. McLaren, Kehinde O. Babaagba, Zhiyuan Tan

Proceedings of the Machine Learning, Optimization, and Data Science, 2022

A Generative Neural Network for Enhancing Android Metamorphic Malware Detection based on Behaviour Profiling.

Leigh Turnbull, Zhiyuan Tan, Kehinde O. Babaagba

Proceedings of the IEEE Conference on Dependable and Secure Computing, 2022

2020

Automatic Generation of Adversarial Metamorphic Malware Using MAP-Elites.

Kehinde O. Babaagba, Zhiyuan Tan, Emma Hart

Proceedings of the Applications of Evolutionary Computation - 23rd European Conference, 2020

Improving Classification of Metamorphic Malware by Augmenting Training Data with a Diverse Set of Evolved Mutant Samples.

Kehinde O. Babaagba, Zhiyuan Tan, Emma Hart

Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019

Nowhere Metamorphic Malware Can Hide - A Biological Evolution Inspired Detection Scheme.

Kehinde O. Babaagba, Zhiyuan Tan, Emma Hart

Proceedings of the Dependability in Sensor, Cloud, and Big Data Systems and Applications, 2019