Adversarial Training with Orthogonal Regularization

2020-10-05

SIU 2020Signal Processing and Communications Applications Conference·Adversarial Training·Regularization

Adversarial Training with Orthogonal Regularization

Oğuz Kaan Yüksel·İnci Meliha Baytaş

October 2020

Paper

We propose orthogonal regularization during adversarial training to improve robustness. By encouraging weight matrices to stay orthogonal, the model learns more stable and transferable representations under attack.