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.
Don't miss out on SecAppDev!
Grab your seat nowNavigating the Security Landscape of Modern AI
Deep-dive lecture by Vera Rimmer in room West Wing
Wednesday June 4th, 11:00 - 12:30
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
The Engineer’s Guide to Data Privacy
Deep-dive lecture by Vera Rimmer in room Lemaire
Wednesday June 4th, 14:00 - 15:30
In this session we will walk through the engineer’s toolbox for protecting different types of data against common privacy threats. The talk is informed by existing practical tools as well as by modern research on data privacy.
Key takeaway: Privacy is an engineering responsibility, not only a legal or design issue. Privacy-preserving techniques are accessible and implementable today.