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【学术报告】2018年3月22日下午晏挺教授来我院举办学术讲座

2018-03-19 15:41:34    浏览次数:

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报告人:晏挺(教授,华中师范大学)
报告题目:Inference using a differential private bi-degree sequence of directed graphs
报告摘要:In this talk, we release the bi-degree sequence of a directed graph using a discrete Laplace mechanism and propose an efficient algorithm for finding a maximum likelihood estimate of the bi-degree sequence, which is equivalent to projecting the noisy bi-degree sequence on the set of all graphical bi-degree sequences with the $L_1$ distance. Along the way, our algorithm also outputs a synthetic directed graph. By using the outputs, we present a differentially private estimator of the parameter in the $p_0$ model. We show that the estimator is asymptotically consistent and normally distributed, whose rate of convergence is the same as the non-private estimator. Numerical studies demonstrate our theoretical findings.
报告时间:2018年3月22日(星期四)下午4:00-5:00
报告地点:科技楼南楼702