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Paper accepted at IEEE Symposium on Security and Privacy 2018


We are proud to have a paper accepted at IEEE Symposium on Security and Privacy Symposium (IEEE S&P) 2018. IEEE S&P (aka Oakland)  is one of the most prestigious computer security conferences and has been particularly selective this year, with an acceptance rate of 11.5%.

Our paper 'When Your Fitness Tracker Betrays You: Quantifying the Predictability of Biometric Features Across Contexts' shows how vulnerable different biometrics are against cross-context attacks. The idea of such an attack lies in an imposter collecting biometric data outside the authentication context (e.g. by compromising a fitness tracker or other non-security device) to impersonate the legitimate user. The paper has been co-authored by Oxford's Simon Eberz, Giulio Lovisotto, Andrea Patane, Marta Kwiatkowska and Ivan Martinovic from Oxford and Vincent Lenders from armasuisse. The paper is available online (open access):

The biometric dataset for the paper has been collected with the approval of the Oxford University Central Research Ethics Committee and is available online: