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!
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One Toolbox for Many Kinds of Uncertainty
MCML researchers introduce probly, a unified Python package for uncertainty-aware machine learning, presented orally at NeurIPS 2026.
09.11.2026
Outstanding Paper Award at EMNLP 2026 for Work on Accent Bias in Audio Language Models
A paper co-authored by MCML PI Valentin Hofmann on accent bias in audio language models won an Outstanding Paper Award at EMNLP 2026.
