1 research outputs found
Differentially Private Data Releasing for Smooth Queries with Synthetic Database Output
We consider accurately answering smooth queries while preserving differential
privacy. A query is said to be -smooth if it is specified by a function
defined on whose partial derivatives up to order are all
bounded. We develop an -differentially private mechanism for the
class of -smooth queries. The major advantage of the algorithm is that it
outputs a synthetic database. In real applications, a synthetic database output
is appealing. Our mechanism achieves an accuracy of , and runs in polynomial time. We also
generalize the mechanism to preserve -differential privacy
with slightly improved accuracy. Extensive experiments on benchmark datasets
demonstrate that the mechanisms have good accuracy and are efficient