Marwa D. Abdulkareem

Estimating adversarial transferability from feature-importance similarity in explainable intrusion detection systems

This study investigates the transferability of adversarial attacks across XGBoost and LightGBM models in IDS and uses Explainable AI (XAI) techniques to identify features that influence model decisions and shows that feature-importance patterns can be used to examine model vulnerability under adversarial perturbations.