Relative privacy threats and learning from anonymized data
We consider group-based anonymization schemes, a popular approach to data publishing.
This approach aims at protecting privacy of the individuals involved in a dataset, by …
This approach aims at protecting privacy of the individuals involved in a dataset, by …
Approximate Bayesian Computation and Statistical Applications to Anonymized Data: an Information Theoretic Perspective.
C Viscardi - 2021 - flore.unifi.it
Realistic statistical modelling of complex phenomena often leads to considering several
latent variables and nuisance parameters. In such cases, the Bayesian approach to …
latent variables and nuisance parameters. In such cases, the Bayesian approach to …