Risk-Track (2016-8, Role: Research Team Leader): is a European project (Justice Program) whose objective is to build a data analysis tool for the identification of violent radicals and hate speech on social networks. Risk-Track involves the following partners: Universidad Autonoma de Madrid (Spain), Claude Bernard Lyon 1 University (France), the Parc Sanitari Sant Joan de Deu (Spain) and the Cyprus Neuroscience & Technology Institute (Cyprus).

Securing the Sky SecSKY (2017, Role: Co-PI): This project is funded by the CNRS. In this project, we propose a privacy-preserving data integration approach. The proposed approach allows us to integrate data about the same individual across independent data sources without allowing individual sources to infer information about the data held by each other. We applied our solution to the policing domain. Our solution allows police inspectors to identify terrorist suspects on flights by integrating data from several data sources such as police databases, flight passenger lists, banks and borders databases.

Privacy for Cyber Physical Systems (2015, Role: PI): This project is funded by the CNRS. In this project, we explored the privacy concerns raised by the use of smart cyber physical systems.

Adaptive Security and Privacy ASAP (2014-2016, Role: Member)

PAIRSE (2009-2013, Role: Member): The PAIRSE project aims at providing a flexible, loosely coupled and privacy-preserving data integration system in P2P environments. The project exploits recent Web standards and technologies such as Web services and ontologies to export data from autonomous data providers as reusable services, and proposes the use of service composition as a viable solution to answer data integration needs on the fly. The project proposed new composition algorithms and service/composition execution models that preserve privacy of data manipulated by services and compositions. The proposed integration system was demonstrated at EDBT 2013 and VLDB 2011.