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Achieving an impressive 88.17% accuracy on CIFAR10 under differential privacy, this framework redefines the balance between data privacy and model performance.
Achieve differentially private Markov chain modeling with minimal impact on accuracy, showing less than 2% error in the stationary distribution under typical privacy settings.