{"id":78,"date":"2024-02-20T19:13:20","date_gmt":"2024-02-20T18:13:20","guid":{"rendered":"https:\/\/people.unil.ch\/mathiashumbert\/?page_id=78"},"modified":"2024-04-08T16:46:11","modified_gmt":"2024-04-08T14:46:11","slug":"prof-mathias-humbert","status":"publish","type":"page","link":"https:\/\/people.unil.ch\/mathiashumbert\/prof-mathias-humbert\/","title":{"rendered":"Mathias Humbert"},"content":{"rendered":"
\n
\"\"<\/figure>\n<\/div>\n\n\n
<\/div>\n\n\n\n

I am an associate professor in the Department of Information Systems (Faculty of Business and Economics) at the University of Lausanne. Prior to this, I was a scientific project manager at the Cyber-Defence Campus<\/a>, a senior data scientist at the Swiss Data Science Center (SDSC)<\/a>, ETHZ and EPFL, and a postdoctoral researcher at the Center for IT-Security, Privacy, and Accountability (CISPA)<\/a>, in Saarbr\u00fccken. I completed my Ph.D. thesis in 2015 in the School of Computer and Communication Sciences<\/a> at EPFL<\/a> (Switzerland), after B.Sc.\/M.Sc. studies at EPFL and UC Berkeley<\/a>.<\/p>\n\n\n\n

My research interests lie at the intersection of privacy, cybersecurity, and machine learning. I am currently investigating privacy risks in various contexts, such as machine learning as a service (MLaaS), online social networks, wearable devices, and spectrum monitoring. Furthermore, I am applying machine learning and data analytics to earlier detect cyber-threats. My research expertise includes genomic privacy, privacy in online social networks, location privacy, game theory, and probabilistic graphical models.<\/p>\n\n\n\n

In my Ph.D. thesis (available here<\/a>), I have notably analyzed the variety of interdependencies in individuals’ data, and their impact on privacy. I have shown the impossibility of protecting privacy individually and independently of others (stemming from the lack of control over correlated data), and the need for new definitions of privacy, in its social context, and as a common good.<\/p>\n\n\n\n

<\/div>\n\n\n\n

Scientific distinctions and prizes<\/h2>\n\n\n\n

CNIL-Inria Privacy Award 2022<\/p>\n\n\n\n

Distinguished Paper Award at NDSS 2019<\/p>\n\n\n\n