AbstractPrivacy-preserving data analysis has been put on a firm mathematical foundation since the introduction of differential privacy (DP) in 2006. This privacy definition, however, has some well-known weaknesses: notably, it does not tightly handle composition. In this talk, we propose a relaxation of DP that we term "f-DP", which has a number of appealing properties and avoids some of the di...
AbstractThe hexagonal shape appears almost ubiquitous in nature. However, the mathematical theory to understand hexagonal shape is far from satisfactory. In this talk, I will present my personal understanding on this direction. I show introduce several related mathematical works, then briefly mention a joint work with Prof. Wei, contributing to the understanding of hexagonal shape.Speaker罗森平...
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