This page highlights the papers from my Google Scholar and DBLP records that most directly align with trustworthy AI, explainability, trust principles, and dependable AI deployment.
Featured Papers
Authorea Preprints
An explainable and generalized automotive intrusion detection framework that directly addresses trustworthiness and explainability in vehicle cybersecurity.
WFCS 2025
Explainable AI for industrial and cyber-physical intrusion detection, directly aligned with trustworthy and interpretable AI for mission-critical systems.
SNCNW 2025
A direct trust-oriented paper that operationalizes and evaluates trust principles in a real distributed edge AI implementation.
WFCS 2024
A precursor paper that supports the later trustworthy and explainable intrusion-detection work for industrial edge environments.
IEEE Access 10
The clearest direct match for the website's Trustworthy AI focus, combining trustworthy intrusion detection with explainability.