Differential Privacy and the US Census

Proceedings of the 38th ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems, pp. 1-1, 2019.

Cited by: 6|Bibtex|Views40|DOI:https://doi.org/10.1145/3294052.3322188
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Other Links: dl.acm.org|dblp.uni-trier.de|academic.microsoft.com

Abstract:

Differential privacy is a mathematically rigorous definition of privacy tailored to statistical analysis of large datasets. Differentially private systems simultaneously provide useful statistics to the well-intentioned data analyst and strong protection against arbitrarily powerful adversarial system users -- without needing to distingui...More

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