Trustworthy AI and AI Security
Assessment, protection, and explanation of AI-enabled systems under adversarial and operational uncertainty.
- Trustworthy AI
- Adversarial AI
- Explainability
Research
High-level research areas reflecting the team's project participation and technical capabilities.
Assessment, protection, and explanation of AI-enabled systems under adversarial and operational uncertainty.
Security methods for connected services, cyber-physical infrastructures, and resilient technical environments.
Migration, crypto-agility, and secure engineering methods for emerging quantum software ecosystems.
Compliance-aware data sharing, semantic interoperability, and trustworthy data ecosystem architectures.
Digital twin concepts for monitoring, forensic reconstruction, explainable analysis, and validation workflows.
Infrastructure-supported experimentation across edge, cloud, GPU, HPC, AI, data, and quantum workloads.
Trust, networking, and security evaluation for UAV-assisted monitoring, IoT, and distributed systems.