Hubaux's research is currently dedicated to issues of
data sharing and protection in personalized healthcare. Formerly, he worked on privacy and security in mobile and pervasive networks, and on inter-personal privacy problems. His work in data protection in personalized healthcare led to the development of a system able to train and perform inference with neural networks on decentralized data-sets while preserving the privacy of the data and protecting the model. He is coordinating the development of a novel technique for the efficient bootstrapping in fully
homomorphic encryption and in advancing this technique for practical implementation. He has also led efforts to show that combining
secure multi-party computation and homomorphic encryption makes partial results of federated learning anonymous in accordance to
GDPR. This research, was carried out in the framework of the MedCo and Data Protection for Personalized Health projects. Previously, Hubaux's research was dedicated to the security and privacy of wireless networks. In the field of mobile ad hoc networks, he developed denial-of-service attacks to assess the impact caused by difficult-to-detect attacks. Furthermore he conducted research in the security and privacy vulnerabilities of vehicular ad hoc networks, in the quantification of location privacy in cellular networks, in the application of game theory to wireless networks in order to anticipate network behavior in case wireless nodes depart from the prescribed protocol, and in the robustness of sensor networks; he also showed how sensor nodes can evade jamming attacks by exploiting channel diversity. Finally, he investigated inter-personal privacy issues caused by the online sharing of information such as photos of groups of people or genomes. He was a member of the Scientific Advisory Board of Sophia Genetics (2012-2018) and a member of the Swiss Communication Commission (Commission des Communications; 2007-2019). He is co-chair of the Data Security Work Stream of the
Global Alliance for Genomics and Health. An introduction to Hubaux's recent research is available in two public lectures on "MedCo: Enabling the Secure and Privacy-preserving Exploration and Analysis of Distributed Clinical and *Omics Cohorts" (2020), and on "Secure Sharing of Health Data", presented as the keynote at the European Conference on Security and Privacy (2020). At some point, he contributed also to the development of the
COVID-19 contact tracing app SwissCovid. Among others, the privacy-preserving still accountable ride-hailing service project ORide received coverage in news outlets such as
Wired,
International Business Times, ans
Engadget. == Distinctions ==