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Quantifying Membership Disclosure Risk for Tabular Synthetic Data Using Kernel Density Estimators
arXiv cs.LG — Machine Learning
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What the source reports
New research demonstrates a Kernel Density Estimator framework to measure membership inference attack vulnerability in tabular synthetic data.
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