Mathias Humbert

Mathias Humbert

Sr. Data Scientist
Alumni
(Alumni)

Mathias received his Ph.D. in computer and communication sciences from EPFL in 2015. He then spent two years as a post-doctoral researcher in the Center for IT-Security, Privacy, and Accountability (CISPA) at Saarland University, Germany, where he worked on genomic privacy and privacy in social networks. His current research interests lie at the intersection of privacy and machine learning, with a special application focus on biomedical data. He is currently the lead scientist for the SDSC of the PHRT project “DPPH: Data Protection in Personalized Health”. He is also co-principal investigator of a project funded by the Leenaards Foundation on evaluating and preventing privacy risks in biomedical databases.

Projects

Publications

Berrang, P.; Humbert, M.; Zhang, Y.; Lehmann, I.; Eils, R.; Backes, M. "Dissecting Privacy Risks in Biomedical Data" 2018 IEEE European Symposium on Security and Privacy (EuroS&P) 62-76 2018 View publication
Cherubini, M.; Meylan, A.; Chapuis, B.; Humbert, M.; Bilogrevic, I.; Huguenin, K. "Towards Usable Checksums: Automating the Integrity Verification of Web Downloads for the Masses" Proceedings of the 2018 ACM SIGSAC Conference on Computer and Communications Security 1256-1271 2018 View publication
Backes, M.; Berrang, P.; Humbert, M.; Shen, X.; Wolf, V. "Simulating the Large-Scale Erosion of Genomic Privacy Over Time" IEEE/ACM Transactions on Computational Biology and Bioinformatics 1-1 2018 View publication
Zhang, Y.; Humbert, M.; Rahman, T.; Li, C.; Pang, J.; Backes, M. "Tagvisor: A Privacy Advisor for Sharing Hashtags" Proceedings of the 2018 World Wide Web Conference on World Wide Web - WWW '18 287-296 2018 View publication
Ayday, E.; Humbert, M. "Inference Attacks against Kin Genomic Privacy" IEEE Security & Privacy 15 5.0 29-37 2017 View publication
Backes, M.; Humbert, M.; Pang, J.; Zhang, Y. "walk2friends: Inferring Social Links from Mobility Profiles" Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications Security 1943-1957 2017 View publication

Mentioned in

July 19, 2017

Biomedical data, navigating between public health advancements and privacy challenges

Biomedical data, navigating between public health advancements and privacy challenges

Data-driven medicine has a major downside: by transforming Medicine’s trust model, in place since Hippocrates, it creates unprecedented privacy risks that need to be urgently addressed.

Case Studies

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