28 citations · 174 across the 52 of their papers we have counts for
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cs.DS2019
The power of synergy in differential privacy: Combining a small curator with local randomizers
Amos Beimel, Aleksandra Korolova, Kobbi Nissim +2
Motivated by the desire to bridge the utility gap between local and trusted curator models of differential privacy for practical applications, we initiate the theoretical study of…
cs.DS2019★ 4 cited
Privately Learning Thresholds: Closing the Exponential Gap
Haim Kaplan, Katrina Ligett, Yishay Mansour +2
We study the sample complexity of learning threshold functions under the constraint of differential privacy. It is assumed that each labeled example in the training data is the inf…