AI & Cybersecurity
This doctoral-level course explores the intersection of artificial intelligence and cybersecurity from a research-driven and system-oriented perspective. It addresses both the use of AI for cybersecurity (e.g., detection, automation, and threat intelligence) and the security of AI systems themselves (e.g., adversarial attacks, robustness, and resilience). Building upon foundational concepts introduced in earlier study cycles, the course advances toward state-of-the-art research topics, including adversarial machine learning, secure AI architectures, trustworthy AI, and emerging threats in AI-integrated systems. The course is designed to:
• develop a deep conceptual understanding of AI security challenges,
• enable critical analysis of contemporary research literature, and
• support students in formulating novel research ideas relevant to their doctoral work
