One Article Review
| Source |  NIST Security |
|---|---|
| Identifiant | 2733848 |
| Date de publication | 2021-05-03 12:00:00 (vue: 2021-05-03 17:06:41) |
| Titre | Differentially Private Synthetic Data |
| Texte | In this series, we've examined several different ways to answer queries over data using differential privacy. So far each approach requires changing the way we answer queries - usually by adding noise to the answer - and modifying the tools we would normally use for analyzing data. What if we want to use existing data analysis tools, but still protect privacy? For example, the marketing department of our pumpkin spice latte company might be accustomed to exporting sales data to a spreadsheet at the end of each month to analyze sales trends using a popular spreadsheet application. They would |
| Envoyé | Oui |
| Condensat | accustomed adding analysis analyze analyzing answer application approach but changing company data department different differential differentially each end examined example existing exporting far latte marketing might modifying month noise normally over popular privacy private protect pumpkin queries requires sales series several spice spreadsheet synthetic tools trends use using usually want way ways what would |
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