Differential Privacy and Applications 1st ed. 2017 edition

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Differential Privacy and Applications 1st ed. 2017 edition

It provides an approachable strategy for researchers and engineers to implement differential privacy in real world applications. Early chapters are focused on two major directions, differentially private data publishing and differentially private data analysis.

235 pages, 71 Illustrations, black and white; XIII, 235 p. 71 illus.