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OpenDP: An Open-Source Suite of Differential Privacy Tools
Towards an End-to-End Approach to Formal Privacy for Sample Surveys
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Computing over Distributed Sensitive Data: Presentations
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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
Publications by Year
2022
(10)
2021
(10)
2020
(13)
2019
(11)
2018
(16)
2017
(19)
2016
(27)
2015
(30)
2014
(20)
2013
(16)
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Recent Publications
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.
Differentially Private Simple Linear Regression
Multiclass versus Binary Differentially Private PAC Learning
Legal Theorems: Bridging Computer Science and Privacy Law
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