2 papers
cs.SE2026
An explainable hybrid deep learning-enabled intelligent fault detection and diagnosis approach for automotive software systems validation
Mohammad Abboush, Ehab Ghannoum, Andreas Rausch
Advancements in data-driven machine learning have emerged as a pivotal element in supporting automotive software systems (ASSs) engineering across various levels of the V-developme…
cs.CR2025
Poisoned Source Code Detection in Code Models
Ehab Ghannoum, Mohammad Ghafari
Deep learning models have gained popularity for conducting various tasks involving source code. However, their black-box nature raises concerns about potential risks. One such risk…