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#machine learning Preprint Sep 2026

Predicting Privacy Leakage from Weight Spectral Density

The results indicate that neural network spectra may contain information about privacy leakage that is not fully captured by conventional measures of overfitting, motivating spectral analysis as a promising direction for scalable privacy auditing.

R. Preen, Jim Smith · 0 citations

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