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.
Publisher: O'Reilly Media Author(s): Mayana Pereira Number of pages: 275 Publication date: 2024 Dimensions: 176 x 234 x 27 Cover type: Paperback.
| Publisher | Oreilly |
|---|---|
| Author(s) | Mayana |
| Number of pages | 275 |
| Publication date | 2024 |
| Dimensions | 176 x 234 x 27 |
| Cover type | Paperback |
O'reilly Media Hands-on differential privacy. introduction to the theory and practice using opendp, paperback/mayana pereira
