Hands-On Differential Privacy: Introduction to the Theory and Practice Using OpenDP by Ethan Cowan, Michael Shoemate, Mayana Pereira
English | June 25th, 2024 | ISBN: 1492097748 | 360 pages | True EPUB | 4.57 MB
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.