Guest Editors
Prof. Fehmi Jaafar
Email: fehmi.jaafar@uqac.ca
Affiliation: Department of Mathematics and Computer Sciences, University of Quebec at Chicoutimi, Saguenay, Canada
Homepage:
Research Interests: secure AI, autonomous cyber defense systems
Prof. Darine Ameyed Casier
Email: dameyed@uqac.ca
Affiliation: Department of Computer Science and Mathematics, University of Québec at Chicoutimi, Chicoutimi, Canada
Homepage:
Research Interests: human-aware intelligent technology, safe AI
Prof. Dr. Habil. Marc-Oliver Pahl
Email: marc-oliver.pahl@imt-atlantique.fr
Affiliation: Department of Network Systems, Cybersecurity and Digital Law, IMT Atlantique, Rennes, France
Homepage:
Research Interests: adversarial collaborative AI, system-level resilience, hardware-anchored analytics, adversarial modeling, decentralized trust
Summary
The rapid advancement of Agentic Artificial Intelligence (AAI) is transforming numerous busness models and e-services. As AAI systems become deeply integrated into multidomain environment and sensitive data, concerns regarding their robustness, reliability, and resilience have grown significantly.
AAI systems are increasingly exposed to threats such as adversarial manipulation, data poisoning, privacy leakage, and system vulnerabilities. Ensuring the security and safety of AAI systems is therefore essential to fully realize its societal and industrial benefits while minimizing potential risks.
Aim and Scope
This Special Issue aims to highlight recent advances in secure and safe Agentic AI, focusing on theoretical foundations, practical methodologies, and system-level solutions that enhance the trustworthiness and resilience of intelligent autonomous systems.
Suggested Themes
· Agentic AI security and safety frameworks and standards.
· Adversarial machine learning and Agentic AI robustness.
· Agentic AI for cybersecurity and threat detection.
· Agentic AI ethics and regulatory compliance.
· Modern approaches for secure AAI.
Keywords
secure agentic AI, safe agentic AI, post-quantum for secure agentic AI
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