ABCDP: Approximate Bayesian Computation with Differential Privacy
We developed a novel approximate Bayesian computation (ABC) framework, <i>ABCDP</i>, which produces differentially private (DP) and approximate posterior samples. Our framework takes advantage of the sparse vector technique (SVT), widely studied in the differential privacy literature. SV...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2021-07-01
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| Series: | Entropy |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1099-4300/23/8/961 |