Research Pillars

Trustworthy AI

The Trustworthy AI pillar focuses on Address AI systems issues with respect to security, privacy, compliance and trust to ensure their resilience, robustness and safety of AI against both inherent limitations and malicious actions that could compromise their security and lead to undesirable behaviour.  

Research Areas
Research Topics
Projects from Open Calls
Project: Detecting fake voices from real recordings and synthetic generations
Project: A novel approach for AI detection content based on fine-tuned LLMs  
Project: Detecting and Explaining AI Using Language-Image Contrastive Insights  
Project: A Multi-Layer Defense System against LLMs Adversarial Prompt Attacks  
Project: Democracy in the Age of Algorithm: Enhancing Transparency and Trust in AI-Generated Content through Innovative Detection Techniques 
Project: Towards encryption-free verifiable federated learning for energy use-cases 
Project: Implementing and Evaluating Trustworthy Distributed AI Systems and Models