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Handbook of Sharing Confidential Data: Differential Privacy, Secure Multiparty Computation, and Synthetic Data - Chapman & Hall / CRC Handbooks of Modern Statistical Methods Aleksandra Slavkovic-Jorg Drechsler-Jerome Reiter-
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Handbook of Sharing Confidential Data: Differential Privacy, Secure Multiparty Computation, and Synthetic Data - Chapman & Hall / CRC Handbooks of Modern Statistical Methods
Aleksandra Slavkovic-Jorg Drechsler-Jerome Reiter-
he Handbook of Sharing Confidential Data helps data stewards understand how tools from the data confidentiality literature—specifically, synthetic data, formal privacy, and secure computation—can be used to manage trade-offs in disclosure risk and data usefulness.
376 pages, 10 Tables, black and white; 40 Line drawings, black and white; 40 Illustrations, black an
| Mediji | Grāmatas Hardcover Book (Grāmata ar cieto muguriņu un vāku) |
| Izlaists | 2024. gada 9. oktobris |
| ISBN13 | 9781032028033 |
| Izdevēji | Taylor & Francis Ltd |
| Lapas | 333 |
| Izmēri | 150 × 220 × 20 mm · 453 g |
| Valoda | Angļu |
| Redaktors | Drechsler, Jorg |
| Redaktors | Kifer, Daniel |
| Redaktors | Reiter, Jerome |
| Redaktors | Slavkovic, Aleksandra |
