51 citations · 160 across the 19 of their papers we have counts for
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cs.DS2018★ 18 cited
Locally Private Mean Estimation: Z-test and Tight Confidence Intervals
Marco Gaboardi, Ryan Rogers, Or Sheffet
This work provides tight upper- and lower-bounds for the problem of mean estimation under -differential privacy in the local model, when the input is composed of i.i.d. draw…
cs.LG2018★ 51 cited
Differentially Private Contextual Linear Bandits
Roshan Shariff, Or Sheffet
We study the contextual linear bandit problem, a version of the standard stochastic multi-armed bandit (MAB) problem where a learner sequentially selects actions to maximize a rewa…
cs.CR2018★ 7 cited
Locally Private Hypothesis Testing
Or Sheffet
We initiate the study of differentially private hypothesis testing in the local-model, under both the standard (symmetric) randomized-response mechanism (Warner, 1965, Kasiviswanat…