alpha-Wasserstein Mechanism for R' e nyi Pufferfish Privacy
The paper proposes an alpha-Wasserstein mechanism using Laplace and Gaussian noise to achieve exact (alpha, epsilon)-Rényi Pufferfish Privacy. It establishes a unified mathematical method for calibrating noise scales based on the W-metric, providing better data utility than traditional methods and proving exact privacy without needing further relaxations.