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We are very pleased to announce that Apostolos Pyrgelis and Dr Emiliano De Cristofaro, of UCL Department of Computer Science, and their collaborator 顿谤听, of EPFL, have won one of the two Distinguished Paper Awards at the听.

罢丑别听听takes place annually in San Diego, and provides a platform for knowledge exchange among researchers and practitioners of network and distributed system security. It is the听听flagship security conference, and is lauded as one of the top four academic conferences in security.

The winning paper, entitled 鈥溾��, presented the first study on the feasibility of membership inference attacks on aggregate location time-series.

鈥淚t is a real honour to have won a distinguished paper award this year, as there were so many fantastic submissions, said Dr De Cristofaro. 鈥淚 am very proud of Apostolos鈥� work on this research, as it demonstrates a very rare and vital combination of foundational insights and real-world work.鈥�

Data aggregation is often considered as a privacy defence mechanism in the context of mobility analytics. However, the team鈥檚 paper confirms it is not, as an adversary that can re-identify users whose data is part of the aggregates. In order to show this, they build a framework that includes prior knowledge of the adversary, and that models the attack as an interactive game, which the adversary wins using a machine learning classifier. This framework is applied to differential privacy defences used for time-series release, such as output perturbation, as well as input perturbation, as implemented by companies like Google and Apple.

鈥淥verall, our work means that we now have a way to carefully test the real-world privacy guarantees provided by differential privacy and other defences, as well as the resulting utility.鈥�

顿谤听听is a Reader (Associate Professor) in Security and Privacy Enhancing Technologies at University College London. He conducts research in the field of security and privacy enhancing technologies, more specifically to understand and counter security issues via measurement studies and data-driven analysis, and to tackle problems at the intersection of machine learning and security.

听is a PhD candidate based in the听听at UCL. He is co-supervised by Dr De Cristofaro and 顿谤听. His research interests include听applied cryptography,听privacy-enhancing technologies,听distributed systems听as well as听privacy-friendly analytics听and听machine learning听applications to security.

Please join us in congratulating them on this fantastic achievement!

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You can find an open access copy of the paper on the NDSS Symposium website听.听