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Information theoretic view on Privacy preservation

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Note that the change of time - now at 14:00.

Privacy preservation has become a major demand for databases containing personal information. While the issues relative to privacy disclosure are well identified and investigated, the description of a global framework that reposition privacy preservation/utility trade-off in information theoretical ground is still missing. In this talk I will present some existing results showing in particular that differential privacy is not ably to guarantee optimal privacy/utility tradeoff. I will thereafter re-express privacy preservation problem in the context of rate/distorsion functions and show that a formulation similar to lossy compression can guarantee optimal privacy/utility trade-off. I will thereafter describe some encoding scheme achieving this solution and illustrate it on several cases.

Bio: Kavé Salamatian is a full professor at University of Savoie. His main areas of researches are Internet measurement and modeling, and networking information theory. He was previously reader at Lancaster University, UK and associate professor at University Pierre et Marie Curie. Kavé has graduated in 1998 from Paris SUD -Orsay university where he worked on joint source channel coding applied to multimedia transmission over Internet for his Phd. In a former life, he graduated with a MBA , and worked on market floor as a risk analyst and enjoyed being an urban traffic modeler for some years. He is working these day on figuring out if networking is a science or just a hobby and if it is a science what are its fundamentals.

This talk is part of the Computer Laboratory Systems Research Group Seminar series.

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