Differential Privacy
$39.98
- Paperback
256 pages
- Release Date
29 April 2025
Summary
A robust yet accessible introduction to the idea, history, and key applications of differential privacy—the gold standard of algorithmic privacy protection.
Differential privacy (DP) is an increasingly popular, though controversial, approach to protecting personal data. DP protects confidential data by introducing carefully calibrated random numbers, called statistical noise, when the data is used. Google, Apple, and Microsoft have all integrated the technology into their software, an…
Book Details
| ISBN-13: | 9780262551656 |
|---|---|
| ISBN-10: | 0262551659 |
| Author: | Simson L. Garfinkel |
| Publisher: | MIT Press Ltd |
| Imprint: | MIT Press |
| Format: | Paperback |
| Number of Pages: | 256 |
| Release Date: | 29 April 2025 |
| Weight: | 369g |
| Dimensions: | 178mm x 127mm |
| Series: | The MIT Press Essential Knowledge series |
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About The Author
Simson L. Garfinkel
Simson L. Garfinkel researches and writes at the intersection of AI, privacy, and digital forensics. He is a fellow of the AAAS, the ACM, and the IEEE.
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