A data privacy expert explains how machine learning algorithms draw inferences and how that leads to privacy concerns.
Articles on DIfferential privacy
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Differential privacy lets people to share data anonymously, but people need to know more about it to make informed decisions.
An accurate census requires good data in and good data out. With the 2020 census, the US has unprecedented challenges with both.
It’s important to strike a balance between protecting Americans’ privacy and having accurate statistics for governments and businesses to make data-based decisions.
Top contributors
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Research Director of Demographics Research Group, University of Virginia
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Assistant Professor of Industrial and Systems Engineering, Georgia Institute of Technology
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Researcher Assistant Professor in Computer Science, Boston University
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Associate Professor of Geography, University of Tennessee
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Faculty member & Research Group Leader, Max Planck Institute for Software Systems
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Assistant Professor of Statistics, Purdue University