Welcome to the website of Mathias Humbert’s group! We research cybersecurity and privacy with a data-driven approach, including new kinds of cyber threat such as disinformation. Our current research interests include security & privacy in machine learning, privacy in wearable activity trackers, social media analysis, and cybersecurity cost analysis. We are especially enthusiastic about interdisciplinary research at the intersection between computer science and sociology, law, or finance.
News
- “Addressing the Address Books’ (Interdependent) Privacy Issues” accepted at USENIX security’25Congrats Kavous and the whole team!
- “Link Stealing Attacks Against Inductive Graph Neural Networks” accepted at PETS’24Congrats Yixin and the whole team!
- “Shadow Health-Related Data: Definition, Categorization, and User Perspectives” accepted at EuroUSEC 24Congrats Yamane and the whole team!
- “Security and Privacy with Second-Hand Storage Devices: A User-Centric Perspective from Switzerland” accepted at PETS’24Congrats Kavous and the whole team!
- “Wearable Activity Trackers: A Survey on Utility, Privacy, and Security” accepted in the ACM Computing SurveysCongrats Kavous, Lev, and Noé!