Explainable AI and Deep Autoencoders Based Security Framework for IoT Network Attack Certainty (Extended Abstract). - Chathuranga Sampath Kalutharage; Xiaodong Liu 002; Christos Chrysoulas (ADIoT, 2022)

Towards Improving Accessibility of Web Auditing with Google Lighthouse. - Thomas McGill; Oluwaseun Bamgboye; Xiaodong Liu 002; Chathuranga Sampath Kalutharage (COMPSAC, 2023)

Utilizing the Ensemble Learning and XAI for Performance Improvements in IoT Network Attack Detection. - Chathuranga Sampath Kalutharage; Xiaodong Liu 002; Christos Chrysoulas; Oluwaseun Bamgboye (ESORICS Workshops (2), 2023)

Explainable AI-Based DDOS Attack Identification Method for IoT Networks. - Chathuranga Sampath Kalutharage; Xiaodong Liu 002; Christos Chrysoulas; Nikolaos Pitropakis; Pavlos Papadopoulos (Comput., 2023)

Neurosymbolic Learning in the XAI Framework for Enhanced Cyberattack Detection with Expert Knowledge Integration. - Chathuranga Sampath Kalutharage; Xiaodong Liu 002; Christos Chrysoulas; Oluwaseun Bamgboye (SEC, 2024)

Neurosymbolic learning and domain knowledge-driven explainable AI for enhanced IoT network attack detection and response. - Chathuranga Sampath Kalutharage; Xiaodong Liu 002; Christos Chrysoulas (Comput. Secur., 2025)