Our research aims to unify existing works' diverging opinions on how
arc...
Adversarial Training is the most effective approach for improving the
ro...
Existing adversarial example research focuses on digitally inserted
pert...
Federated learning (FL) is a computational paradigm that enables
organiz...
This manuscript describes the first challenge on Federated Learning, nam...
We investigate adversarial-sample generation methods from a frequency do...
Deep learning models for semantic segmentation of images require large
a...
Given the ability to directly manipulate image pixels in the digital inp...