The U.S. Census Longitudinal Business Database (LBD) product contains
em...
It is common for data structures such as images and shapes of 2D objects...
Among community detection methods, spectral clustering enjoys two desira...
To quantify trade-offs between increasing demand for open data sharing a...
Implementations of the exponential mechanism in differential privacy oft...
Despite its many useful theoretical properties, differential privacy (DP...
Several algorithms exist for creating differentially private counts from...
Differential Privacy (DP) provides an elegant mathematical framework for...
The stochastic block model (SBM) – a network model featuring community
s...
In this work we develop methods for privatizing spatial location data, s...
We derive uniformly most powerful (UMP) tests for simple and one-sided
h...
The exponential mechanism is a fundamental tool of Differential Privacy ...
We propose a method for the release of differentially private synthetic
...
We derive uniformly most powerful (UMP) tests for simple and one-sided
h...
A common way to protect privacy of sensitive information is to introduce...
In statistical privacy (or statistical disclosure control) the goal is t...