2 papers
cs.LG2020
Toward Few-step Adversarial Training from a Frequency Perspective
Hans Shih-Han Wang, Cory Cornelius, Brandon Edwards +1
We investigate adversarial-sample generation methods from a frequency domain perspective and extend standard Projected Gradient Descent (PGD) to the frequency domain.…
cs.LG2018
Multi-Institutional Deep Learning Modeling Without Sharing Patient Data: A Feasibility Study on Brain Tumor Segmentation
Micah J Sheller, G Anthony Reina, Brandon Edwards +2
Deep learning models for semantic segmentation of images require large amounts of data. In the medical imaging domain, acquiring sufficient data is a significant challenge. Labelin…