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Answering Range Queries Under Local Differential Privacy
Tejas Kulkarni, Graham Cormode, Divesh Srivastava
Counting the fraction of a population having an input within a specified interval i.e. a \emph{range query}, is a fundamental data analysis primitive. Range queries can also be use…
Marginal Release Under Local Differential Privacy
Tejas Kulkarni, Graham Cormode, Divesh Srivastava
Many analysis and machine learning tasks require the availability of marginal statistics on multidimensional datasets while providing strong privacy guarantees for the data subject…
Constrained Differential Privacy for Count Data
Graham Cormode, Tejas Kulkarni, Divesh Srivastava
Concern about how to aggregate sensitive user data without compromising individual privacy is a major barrier to greater availability of data. The model of differential privacy has…