Differential Privacy for Dynamic Data
Jerome Le Ny
Springer Nature Switzerland AG, 2020
79,75 €On orderDelivery: 2-3 weeks
This Springer brief provides the necessary foundations to understand differential privacy and describes practical algorithms enforcing this concept for the publication of real-time statistics based on sensitive data.
- ISBN-13
- 9783030410384
- ISBN-10
- 3030410382
- Publisher
- Springer Nature Switzerland AG
- Year
- 2020
- Publication date
- 2020-03-25
- Pages
- 110
- Dimensions
- 233x156x10
- Weight
- 204