Artificial Intelligence (AI) and Cybersecurity are two of the most prominent topics nowadays due to rapid advancements in AI, particularly in Large Language Models (LLMs), and the growing number of cyberattacks and their impact. Additionally, emerging directives, regulations, and legislative acts, such as the european NIS2, are driving these topics beyond academia into industry and society. While cybersecurity has been a prolific field for the application of AI techniques, it is evident that AI is increasingly becoming a prime target of malicious activities and also being misused as an attacking agent or facilitator.
The International Workshop on Artificial Intelligence, Cyber and Cyber-Physical Security aims to explore both the expanding role of AI in addressing security challenges in digital and physical systems, and the need to address the robustness and resilince of AI techniques. This workshop aims to bring together researchers and practitioners from both communities – cybersecurity and artificial intelligence – to discuss problems and solutions on the intersection of these fields.
Topics of interest include, but are not limited to:
AI applied to:
Automated Vulnerability Assessment and Penetration Testing
Code Static Analysis
Deobfuscation
Intrusion Detection and Anomaly Detection
Log Processing and Summarizing
Malware Analysis and Reverse Engineering
Phishing and Social Engineering
Securing Industrial Control Systems
Security Monitoring
Adversarial Attacks and Defenses
AI-driven biometric authentication and behavioral analysis
AI-generated Threats (deepfakes, automated misinformation)
AI-powered deception
AI used as an Attacking Actor
Challenges related to AI and Information Security
Cybercrimes Exploiting AI
Ethical Aspects in AI (Cyber-Physical Security, Privacy and Data Protection Related)
Large Language Models (LLMs) for Cybersecurity Applications
Legal and Human Aspects of AI and Security
Privacy Preservation when applying AI
Resilience and AI
Responsible AI usage in Cyber Defense and Law Enforcement
Robustness of AI
Secure Deployment of AI Models
Secure Processing in Machine Learning Algorithms
Securing AI Pipelines and Data Integrity
Security of Cyber-Physical Systems using AI
Trust and Explainability when using AI
Threat models and attack strategies
Important Dates
Submission Deadline: April 15, 2026
Author notification: June 01, 2026
Camera Ready Upload: June 13, 2026
Conference: August 24-27, 2026