SecAppDev 2025 Faculty
Vera Rimmer
Research expert, DistriNet, KU Leuven
Vera Rimmer is a research expert at the DistriNet research group at KU Leuven, where she conducts and leads research activities in the intersection of security, privacy and AI. Her doctorate focused on applying deep learning in anonymity networks and network defense systems. Currently, Vera and her team explore data analytics in network intrusion and malware detection and analysis, and trustworthiness of data-driven AI in the wider ICT context. Vera is interested in developing comprehensive understanding, reasonable expectations and mitigation of risks of data-driven AI in the age of uncontrolled data collection and inference.
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Grab your seat nowNavigating the Security Landscape of Modern AI
Deep-dive lecture by Vera Rimmer
In this session, we will overview the general security landscape of AI technologies, including foundational machine learning, deep learning, and large language models.
Key takeaway: Integrating AI inevitably increases the threat landscape of a system. Understanding how AI can be exploited is key to developing effective mitigations