Privacy Loss Classes: The Central Limit Theorem in Differential Privacy
Quantifying the privacy loss of a privacy-preserving mechanism on potentially sensitive data is a complex and well-researched topic; the de-facto standard for privacy measures are ε-differential privacy (DP) and its versatile relaxation (ε, δ)-approximate differential privacy (ADP). Recently, novel...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Sciendo
2019-04-01
|
| Series: | Proceedings on Privacy Enhancing Technologies |
| Subjects: | |
| Online Access: | https://doi.org/10.2478/popets-2019-0029 |