AINeutralarXiv – CS AI · 3h ago6/10
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Mind the Gap: Mixtures of Gaussians in Approximate Differential Privacy
Researchers introduce mixture mechanisms for differential privacy that combine multiple Gaussian distributions to reduce noise in data queries while maintaining privacy guarantees. These mechanisms substantially outperform existing analytic Gaussian approaches in low-privacy regimes, approaching theoretical optimality with significantly lower noise amplitudes and variances.