Toward Few-step Adversarial Training from a Frequency Perspective

no code implementations • 13 Oct 2020 • Hans Shih-Han Wang, Cory Cornelius, Brandon Edwards, Jason Martin

We investigate adversarial-sample generation methods from a frequency domain perspective and extend standard $l_{\infty}$ Projected Gradient Descent (PGD) to the frequency domain.