<p>Quantitative assessment of unconditional generation and privacy. Comparison of the two models on their ability to reconstruct the training data manifold without conditioning. We report the <i>F1 Score</i> (higher indicates better manifold reconstruction, worse for privacy) and the <i>Energy Distance</i> (lower is more similar, worse for privacy) between the generated and real distributions. Values are mean ± std over 10 runs.</p>

Quantitative assessment of unconditional generation and privacy. Comparison of the two models on their ability to reconstruct the training data manifold without conditioning. We report the F1 Score (higher indicates better manifold reconstruction, worse for privacy) and the Energy Distance (lower is more similar, worse for privacy) between the generated and real distributions. Values are mean ± std over 10 runs.