1.5k citations · 2.7k across the 25 of their papers we have counts for
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Differential Privacy with Multiple Selections
Ashish Goel, Zhihao Jiang, Aleksandra Korolova +2
We consider the setting where a user with sensitive features wishes to obtain a recommendation from a server in a differentially private fashion. We propose a ``multi-selection'' a…
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…
Privacy via the Johnson-Lindenstrauss Transform
Krishnaram Kenthapadi, Aleksandra Korolova, Ilya Mironov +1
Suppose that party A collects private information about its users, where each user's data is represented as a bit vector. Suppose that party B has a proprietary data mining algorit…
On the (Im)possibility of Preserving Utility and Privacy in Personalized Social Recommendations
Ashwin Machanavajjhala, Aleksandra Korolova, Atish Das Sarma
With the recent surge of social networks like Facebook, new forms of recommendations have become possible -- personalized recommendations of ads, content, and even new social and p…