Vera Rimmer is a research expert at the DistriNet lab in KU Leuven. She studies cybersecurity and privacy-enhancing technologies; applied machine learning and deep learning; privacy and trustworthiness of applied data-driven AI. Her published research explores deep learning as a threat against anonymous communication, and various aspects of AI-enabled intrusion detection and authentication. Vera is in particular interested in developing comprehensive understanding, reasonable expectations and mitigation of risks of data-driven AI in the ICT context.