Projet BioQOP: Optimizing queries to video surveillance data under privacy constraints for a distributed architecture

01/01/2018 to 01/01/2020

The BioQOP project deals with an architecture where a facial recognition system is distributed on several nodes.

The innovation is to train each of these nodes in such a way that:
(1) Individually, each node has a weak distinguishability capability;
(2) Taken as a whole, the performance of the system, once all results are gathered, is optimal in terms of biometric recognition accuracy (under the privacy constraints).

Biometric data processing is realized with deep convolutional neural networks (CNNs). Thanks to property (1), an adversary who has access to one node is not able to effectively exploit the underlying CNN signature for classifying biometric data. We plan to measure privacy loss thanks to Differential Privacy techniques. Furthermore, during the BioQOP project, we want to design optimization techniques for accessing and querying costly resources – the cost here being the required differential privacy budget.

Friday, 2 November, 2018


Outcomes and key themes from ICT 2018 Session on Cybersecurity as key for a Digital Economy and Society

On 5 December 2018, the Digital Single Market of the European Commission sponsored a session on the topic of “Cybersecurity as key for a Digital Economy and Society”. The highly-popular session (over 90 attendees) took place on 5 December 2018 within the flagship ICT2018 Conference in Vienna, Austria.

Khalil Rouhana, Deputy Director General, EC – DG CNECT, kicked off the session with an overview of some of the most pressing issues of the day in cybersecurity: