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09/05/2023
Differentially Private Synthetic Heavy-tailed Data
The U.S. Census Longitudinal Business Database (LBD) product contains em...
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09/21/2022
Shape And Structure Preserving Differential Privacy
It is common for data structures such as images and shapes of 2D objects...
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05/17/2022
Perfect Spectral Clustering with Discrete Covariates
Among community detection methods, spectral clustering enjoys two desira...
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05/06/2022
Statistical Data Privacy: A Song of Privacy and Utility
To quantify trade-offs between increasing demand for open data sharing a...
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04/03/2022
Exact Privacy Guarantees for Markov Chain Implementations of the Exponential Mechanism with Artificial Atoms
Implementations of the exponential mechanism in differential privacy oft...
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04/03/2022
A Formal Privacy Framework for Partially Private Data
Despite its many useful theoretical properties, differential privacy (DP...
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01/25/2022
A Latent Class Modeling Approach for Generating Synthetic Data and Making Posterior Inferences from Differentially Private Counts
Several algorithms exist for creating differentially private counts from...
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08/05/2021
Perturbed M-Estimation: A Further Investigation of Robust Statistics for Differential Privacy
Differential Privacy (DP) provides an elegant mathematical framework for...
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05/26/2021
Consistency of Privacy-Preserving Spectral Clustering under the Stochastic Block Model
The stochastic block model (SBM) – a network model featuring community s...
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03/28/2020
Privacy for Spatial Point Process Data
In this work we develop methods for privatizing spatial location data, s...
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03/31/2019
Differentially Private Inference for Binomial Data
We derive uniformly most powerful (UMP) tests for simple and one-sided h...
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01/30/2019
Benefits and Pitfalls of the Exponential Mechanism with Applications to Hilbert Spaces and Functional PCA
The exponential mechanism is a fundamental tool of Differential Privacy ...
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05/23/2018
pMSE Mechanism: Differentially Private Synthetic Data with Maximal Distributional Similarity
We propose a method for the release of differentially private synthetic ...
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05/23/2018
Differentially Private Uniformly Most Powerful Tests for Binomial Data
We derive uniformly most powerful (UMP) tests for simple and one-sided h...
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01/28/2018
Structure and Sensitivity in Differential Privacy: Comparing K-Norm Mechanisms
A common way to protect privacy of sensitive information is to introduce...
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11/17/2017
