In this talk, Josep will highlight connections between several privacy models, including k-anonymity, differential privacy, t-closeness and randomized response.
The principles underlying all those models are deniability and permutation. Future research attempting to adapt the current privacy models for big data and/or design new models will have to adhere to those two underlying principles. As a side result, the above inter-model connections allow gauging what is the actual protection afforded by differential privacy when ε is not sufficiently small.
Josep Domingo-Ferrer is a distinguished professor of computer science and an ICREA-Acadèmia researcher at Universitat Rovira i Virgili, Tarragona, Catalonia. He holds the UNESCO Chair in Data Privacy and is the director of CYBERCAT-Center for Cybersecurity Research of Catalonia, that gathers over 100 researchers from 6 universities.
His research interests are in data anonymisation, statistical disclosure control, information security and cryptographic protocols. He is an IEEE Fellow and an ACM Distinguished Scientist.
The SRM seminars are the joint seminars of the Security and Trust of Software Systems and Applied Security and Information Assurance research groups, supported by the Laboratory of Algorithmics, Cryptology and Security and the Interdisciplinary Centre for Security, Reliability and Trust.