Free Download Hands-On Differential Privacy (Sixth Early Release)
English | 2024 | ISBN: 9781492097730 | 210 Pages | MOBI EPUB (True) | 4 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.
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