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08/30/2023
Publishing Wikipedia usage data with strong privacy guarantees
For almost 20 years, the Wikimedia Foundation has been publishing statis...
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12/08/2022
Tumult Analytics: a robust, easy-to-use, scalable, and expressive framework for differential privacy
In this short paper, we outline the design of Tumult Analytics, a Python...
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07/27/2022
Precision-based attacks and interval refining: how to break, then fix, differential privacy on finite computers
Despite being raised as a problem over ten years ago, the imprecision of...
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12/16/2021
Benchmarking Differentially Private Synthetic Data Generation Algorithms
This work presents a systematic benchmark of differentially private synt...
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07/22/2021
Differentially Private Algorithms for 2020 Census Detailed DHC Race & Ethnicity
This article describes a proposed differentially private (DP) algorithms...
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06/23/2021
HDMM: Optimizing error of high-dimensional statistical queries under differential privacy
In this work we describe the High-Dimensional Matrix Mechanism (HDMM), a...
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05/29/2019
Fair Decision Making using Privacy-Protected Data
Data collected about individuals is regularly used to make decisions tha...
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08/10/2018
Ektelo: A Framework for Defining Differentially-Private Computations
The adoption of differential privacy is growing but the complexity of de...
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08/10/2018
Optimizing error of high-dimensional statistical queries under differential privacy
Differentially private algorithms for answering sets of predicate counti...
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04/02/2018
Differentially Private Hierarchical Count-of-Counts Histograms
We consider the problem of privately releasing a class of queries that w...
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04/02/2018
Differentially Private Hierarchical Group Size Estimation
Consider the problem of estimating, for every integer j, the number of h...
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06/14/2017
Differentially Private Learning of Undirected Graphical Models using Collective Graphical Models
We investigate the problem of learning discrete, undirected graphical mo...
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07/11/2012