15.08.2025
Maximiliane Windl Receives Honourable Mention Award at the USENIX Security Symposium
Exploring Privacy in Radio-Frequency Sensing
MCML Junior Member Maximiliane Windl received an Honourable Mention Award at the 34th USENIX Security Symposium for the paper "Privacy Solution or Menace? Investigating Perceptions of Radio-Frequency Sensing."
The award-winning research explores how people perceive radio-frequency sensing technologies, examining both their potential benefits and the privacy concerns they raise. By investigating public attitudes toward this emerging technology, the work contributes to the development of privacy-aware sensing systems that better align with users' expectations and societal values.
Congratulations on this outstanding achievement!
Related
26.08.2026
Transparency for Global Health Aid
MCML PI Stefan Feuerriegel and his team use machine learning to uncover disparities in the global allocation of health aid.
25.08.2026
David Rügamer: We Need Uncertainty Quantification
MCML PI David Rügamer explains why uncertainty quantification is essential for building trustworthy AI and making informed decisions.
24.08.2026
Using Data Science to Personalize Depression Care
Five young researchers explore how data science can contribute to better healthcare as part of DSSGx Munich 2026, supported by MCML.
