Formal Verification of Differential Privacy


Title:          Formal Verification of Differential Privacy

Time:      10:00, November 23 Friday,2018
Location:   Room 504, Science BuildingB
Lecturer:  Marco Gaboardi  Assistant professor, University at Buffalo, SUNY


Differential Privacy offers ways to answer statistical queries about sensitive data while providing strong provable privacy guarantees ensuring that the presence or absence of a single individual in the data has a negligible statistical effect on the query's result. In this talk I will introduce the basics of differential privacy and some of the fundamental mechanisms for building differentially private programs. I will then overview few different language-based approaches developed to help a programmer to certify her programs differentially private and to guarantee that they provide accurate answers.


Marco Gaboardi is an assistant professor at the University at Buffalo, SUNY. Previously, he was a faculty at the University of Dundee, Scotland. He received his PhD from the University of Torino, Italy, and the Institute National Polytechnique de Lorraine, France. He was a visitor scholar at the University of Pennsylvania and at Harvard’s CRCS center, and recipient of a EU Marie Curie Fellowship. His research is in programming language design and implementation, and in differential privacy.


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