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Computing over Distributed Sensitive Data: Publications
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2016
G. Barthe, P.Y. Strub, J. Hsu, A. D. Gordon, E. J. Gallego Arias, M. Gaboardi, and G. P. Farina
. 2016. “
Differentially Private Bayesian Programming
.” 23rd ACM Conference on Computer and Communications Security, CCS.
p68-barthe.pdf
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Publications by Grant
Towards an End-to-End Approach to Formal Privacy for Sample Surveys - Publication
Computing over Distributed Sensitive Data: Publications
Privacy Tools for Sharing Research Data: Publications
Applying Theoretical Advances in Privacy to Computational Social Science Practice: Publications
Formal Privacy Models and Title 13: Publications
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Recent Publications
From Algorithmic to Institutional Logics: The Politics of Differential Privacy
Differential Perspectives: Epistemic Disconnects Surrounding the US Census Bureau’s Use of Differential Privacy
Nonparametric Differentially Private Confidence Intervals for the Median.
Controlling Privacy Loss in Sampling Schemes: An Analysis of Stratified and Cluster Sampling.
Private rank aggregation in central and local models.
Private sequential hypothesis testing for statisticians: Privacy, error rates, and sample size.
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