ABCDP: Approximate Bayesian Computation with Differential Privacy

We developed a novel approximate Bayesian computation (ABC) framework, ABCDP, 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. SVT incurs the privac...

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Detalles Bibliográficos
Autores principales: Park, Mijung, Vinaroz, Margarita, Jitkrittum, Wittawat
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8391538/
https://www.ncbi.nlm.nih.gov/pubmed/34441101
http://dx.doi.org/10.3390/e23080961

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8391538/
https://www.ncbi.nlm.nih.gov/pubmed/34441101
http://dx.doi.org/10.3390/e23080961

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