arXiv stat.ML
· Papers
Homogenization of $ell_2$-Adversarial Training in High-Dimensions: Exact Dynamics under Stochastic Gradient Descent
arXiv:2607.00207v1 Announce Type: cross Abstract: We develop a framework for analyzing the learning dynamics of $ell_2$-adversarial training of single-index models on Gaussian mixtures in the high-dimensional limit under streaming stochastic gradient descent (SGD). We derive deterministic equivalents for a broad class