Hands-On Differential Privacy - Cowan, Ethan; Shoemate, Michael; Pereira, Mayana
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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. This practical book explains how differential privacy (DP) can help.

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Produktbeschreibung
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. This practical book explains how differential privacy (DP) can help.
Autorenporträt
Ethan Cowan worked on software and research topics as part of the OpenDP team from 2020 to 2022. In particular, he focused on privatizing machine learning models and developing platforms for analyzing sensitive data with built-in differential privacy. Ethan now studies the history and ethics of emerging technology.