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
- “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!
- “Quantifying Privacy Risks of Prompts in Visual Prompt Learning” accepted at USENIX Security’24Congrats Yixin and the whole team!
- “Prioritizing Investments in Cybersecurity: Empirical Evidence from an Event Study on the Determinants of Cyberattack Costs” accepted at WEIS’24Congrats Daniel, Loïc, and Evgueni!
- “Shorts vs. Regular Videos on YouTube: A Comparative Analysis of User Engagement and Content Creation Trends” accepted at WebSci’24Congrats Caroline for your first paper!