Dealing with Imbalanced Data in Multi-class Network Intrusion Detection Systems Using XGBoost. - Malik Al-Essa; Annalisa Appice (PKDD/ECML Workshops (2), 2021)

An XAI-based adversarial training approach for cyber-threat detection. - Malik Al-Essa; Giuseppina Andresini; Annalisa Appice; Donato Malerba (DASC/PiCom/CBDCom/CyberSciTech, 2022)

XAI to Explore Robustness of Features in Adversarial Training for Cybersecurity. - Malik Al-Essa; Giuseppina Andresini; Annalisa Appice; Donato Malerba (ISMIS, 2022)

Striving for Simplicity in Deep Neural Models Trained for Malware Detection. - Malik Al-Essa; Giuseppina Andresini; Annalisa Appice; Donato Malerba (PKDD/ECML Workshops (3), 2023)

Enhancing Cyber-threat detection coupling Deep Neural Ensemble Learning with XAI. - Malik Al-Essa; Giuseppina Andresini; Annalisa Appice; Donato Malerba (Ital-IA, 2024)

PANACEA: a neural model ensemble for cyber-threat detection. - Malik Al-Essa; Giuseppina Andresini; Annalisa Appice; Donato Malerba (Mach. Learn., 2024)