We study the problem of efficiently generating differentially private
sy...
A reconstruction attack on a private dataset D takes as input some publi...
We provide a differentially private algorithm for producing synthetic da...
We study privacy-preserving exploration in sequential decision-making fo...
We study private synthetic data generation for query release, where the ...
In many statistical problems, incorporating priors can significantly imp...
In this work we study a variant of the well-known multi-armed bandit (MA...
Motivated by high-stakes decision-making domains like personalized medic...
We present three new algorithms for constructing differentially private
...
One of the most effective algorithms for differentially private learning...