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Lausanne University Hospital
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Mapping pure differential privacy to Gaussian differential privacy reveals that a conservative $渭$ value can significantly enhance privacy without sacrificing performance.
Popular DP synthetic data generators like MST and AIM are less private than we thought, but this new auditing framework finally gives us a tight handle on their true privacy risks.
