most citedReal-time Over-the-air Adversarial Perturbations for Digital Communications using Deep Neural Networks

4 citations · 4 across the 1 of their papers we have counts for

collaborators

1 paper

cs.CR2022★ 4 cited

Real-time Over-the-air Adversarial Perturbations for Digital Communications using Deep Neural Networks

Roman A. Sandler, Peter K. Relich, Cloud Cho +1

Deep neural networks (DNNs) are increasingly being used in a variety of traditional radiofrequency (RF) problems. Previous work has shown that while DNN classifiers are typically m…