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Spending Privacy Budget Fairly and Wisely. (arXiv:2204.12903v1 [cs.LG])
cs.CR updates on arXiv.org arxiv.org
Differentially private (DP) synthetic data generation is a practical method
for improving access to data as a means to encourage productive partnerships.
One issue inherent to DP is that the "privacy budget" is generally "spent"
evenly across features in the data set. This leads to good statistical parity
with the real data, but can undervalue the conditional probabilities and
marginals that are critical for predictive quality of synthetic data. Further,
loss of predictive quality may be non-uniform across the data …