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Found 4 papers, 1 papers with code
Faking feature importance: A cautionary tale on the use of differentially-private synthetic data
Synthetic datasets are often presented as a silver-bullet solution to the problem of privacy-preserving data publishing.
Mitigating Statistical Bias within Differentially Private Synthetic Data
Increasing interest in privacy-preserving machine learning has led to new and evolved approaches for generating private synthetic data from undisclosed real data.
Foundations of Bayesian Learning from Synthetic Data
There is significant growth and interest in the use of synthetic data as an enabler for machine learning in environments where the release of real data is restricted due to privacy or availability constraints.
A Recommendation and Risk Classification System for Connecting Rough Sleepers to Essential Outreach Services
Rough sleeping is a chronic problem faced by some of the most disadvantaged people in modern society.
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