DP-CDA generates synthetic data via class-specific randomized mixing to claim stronger privacy guarantees and higher predictive utility than prior data-publishing methods under equivalent privacy budgets.
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DP-CDA: An Algorithm for Enhanced Privacy Preservation in Dataset Synthesis Through Randomized Mixing
DP-CDA generates synthetic data via class-specific randomized mixing to claim stronger privacy guarantees and higher predictive utility than prior data-publishing methods under equivalent privacy budgets.