10 citations · 10 across the 2 of their papers we have counts for
6 papers
Differentially Private Inference for Binomial Data
Jordan Awan, Aleksandra Slavkovic
We derive uniformly most powerful (UMP) tests for simple and one-sided hypotheses for a population proportion within the framework of Differential Privacy (DP), optimizing finite s…
Benefits and Pitfalls of the Exponential Mechanism with Applications to Hilbert Spaces and Functional PCA
Jordan Awan, Ana Kenney, Matthew Reimherr +1
The exponential mechanism is a fundamental tool of Differential Privacy (DP) due to its strong privacy guarantees and flexibility. We study its extension to settings with summaries…
pMSE Mechanism: Differentially Private Synthetic Data with Maximal Distributional Similarity
Joshua Snoke, Aleksandra Slavković
We propose a method for the release of differentially private synthetic datasets. In many contexts, data contain sensitive values which cannot be released in their original form in…
Differentially Private Uniformly Most Powerful Tests for Binomial Data
Jordan Awan, Aleksandra Slavkovic
We derive uniformly most powerful (UMP) tests for simple and one-sided hypotheses for a population proportion within the framework of Differential Privacy (DP), optimizing finite s…
Providing Accurate Models across Private Partitioned Data: Secure Maximum Likelihood Estimation
Joshua Snoke, Timothy R. Brick, Aleksandra Slavkovic +1
This paper focuses on the privacy paradigm of providing access to researchers to remotely carry out analyses on sensitive data stored behind firewalls. We address the situation whe…
The space of compatible full conditionals is a unimodular toric variety
Aleksandra B Slavkovic, Seth Sullivant
The set of all m-tuples of compatible full conditional distributions on discrete random variables is an algebraic set whose defining ideal is a unimodular toric ideal. We identify…