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Many organizations today analyze and share large, sensitive datasets about individuals. Whether these datasets cover healthcare details, financial records, or exam scores, it's become more difficult for organizations to protect an individual's information through deidentification, anonymization, and other traditional statistical disclosure limitation techniques. This practical book explains how differential privacy (DP) can help. Authors Ethan Cowan, Michael Shoemate, and Mayana Pereira explain how these techniques enable data scientists, researchers, and programmers to run statistical analyses that hide the contribution of any single individual. You'll dive into basic DP concepts and unders...
"The land grants listed herein were made by Lord Fairfax prior to the creation of the Virginia Land Office; by the Commonwealth of Virginia, of lands now embracing the State of West Virginia; and, by the State of West Virginia, under its first Constitution."--Page [1].