56 citations · 205 across the 26 of their papers we have counts for
Showing 2017 · cs.DBShow all
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cs.DB2017★ 1 cited
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…
cs.DB2017★ 3 cited
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…