Author

De-Han Wang

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Preprint Sep 2026

Tail-Weight Control and Localized Generalization in Nearly Low-Rank Adversarial Classification

Empirical ramp fitting can assign weight to pure-noise features even when the population optimum ignores them. We quantify this gap for norm-constrained adversarial classification with Gaussian signal and noise. The variance cost relative to normalized signed mean separates into two factors: selecting observations insi...

Kun-Yu Wang, De-Han Wang, Wen-Jun Chen · 0 citations

#artificial intelligence Preprint Sep 2026

Tail-Weight Control and Localized Generalization in Nearly Low-Rank Adversarial Classification

This work studies norm-constrained linear classification under Euclidean adversarial perturbations in a Gaussian model with a low-dimensional informative subspace and an independent noise tail to establish a unique population minimizer and joint local growth.

Kun-Yu Wang, De-Han Wang, Wen-Jun Chen · 0 citations