Biography and research interests
Short biography : I have joined the Computer Science Department of the Université du Québec à Montréal (UQAM) in January 2016, after having held a joint Research chair in Security of Information Systems between Université de Rennes 1 and Inria from September 2009 to December 2015. Before that, I was a CNRS postdoctoral researcher in LAAS-CNRS collaborating with Yves Deswarte on the concept of the “privacy-preserving identity card”, after having defending in 2008 my PhD thesis in computer science at the Université de Montréal under the supervision of Gilles Brassard. I have defended in June 2014 my HDR (Habilitation à Diriger les Recherches) titled “Protection of Privacy in the Information Society”. I am a member of the LATECE laboratory as well as the SERENE RISC cybersecurity network.
Research interests : My main research area is the Protection of Privacy, with a particular strong focus on location privacy. I have also studied and contributed to privacy research in the following contexts : differential privacy, privacy issues in social networks, privacy in distributed systems, privacy-preserving data mining and privacy-preserving identity management.
To draw an analogy with computer security, on the “attack” side, I have investigated the privacy issues raised by the development of information technologies (e.g., location-based services), studying the potential inferences that can be performed on the data collected by such services or the security weaknesses existing in their design. On the “defense” side, I have worked on Privacy Enhancing Technologies (PETs) enabling users to have a better control on their personal data.
I am also interested to solve long-term scientific questions such as addressing the tension between privacy and the analysis of Big Data as well as the fairness, accountability and transparency issues raised by personalized systems.
Due to the research conducted during my PhD, my secondary research interests lie in Artificial Intelligence, Machine Learning (in particular Unsupervised Learning) and Quantum Information Processing, as well as the crossing of these domains which forms the area of Quantum Learning.
This content has been updated on 8 August 2017 at 23 h 16 min.