Malik Al-Essa

According to our database, Malik Al-Essa authored at least 9 papers between 2021 and 2026.

Collaborative distances:

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

2026

Improving robustness and explainability of PE malware classifiers using GAN-Generated Synthetic Adversarial examples.

Malik Al-Essa, Felice Franchini, Stefano Galantucci, Muhammad Imran, Giuseppe Pirlo

Cybersecur., December, 2026

Examining Consumers' Continuance Intention to Use P2P Mobile Payment Systems: An Extended TPB Approach.

Mohammad Alsharo, Jumana Khwaileh, Malik Al-Essa

J. Theor. Appl. Electron. Commer. Res., 2026

COBRA: Counterfactual oversampling framework for imbalanced structured data classification.

Malik Al-Essa, Wasim A. Ali, Mohammad Alsharo, Mohammed Salem Atoum, Muhammad Imran

Expert Syst. Appl., 2026

2024

Enhancing Cyber-threat detection coupling Deep Neural Ensemble Learning with XAI.

Malik Al-Essa, Giuseppina Andresini, Annalisa Appice, Donato Malerba

Proceedings of the Ital-IA Intelligenza Artificiale, 2024

2023

Striving for Simplicity in Deep Neural Models Trained for Malware Detection.

Malik Al-Essa, Giuseppina Andresini, Annalisa Appice, Donato Malerba

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2023

PANACEA: A Neural Model Ensemble for Cyber-Threat Detection.

Malik Al-Essa, Giuseppina Andresini, Annalisa Appice, Donato Malerba

Proceedings of the 10th IEEE International Conference on Data Science and Advanced Analytics, 2023

2022

XAI to Explore Robustness of Features in Adversarial Training for Cybersecurity.

Malik Al-Essa, Giuseppina Andresini, Annalisa Appice, Donato Malerba

Proceedings of the Foundations of Intelligent Systems - 26th International Symposium, 2022

An XAI-based adversarial training approach for cyber-threat detection.

Malik Al-Essa, Giuseppina Andresini, Annalisa Appice, Donato Malerba

Proceedings of the IEEE Intl. Conf. on Dependable, 2022

2021

Dealing with Imbalanced Data in Multi-class Network Intrusion Detection Systems Using XGBoost.

Malik Al-Essa, Annalisa Appice

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2021