9 citations · 9 across the 2 of their papers we have counts for
3 papers
cs.LG2022
Maximum Likelihood Distillation for Robust Modulation Classification
Javier Maroto, Gérôme Bovet, Pascal Frossard
Deep Neural Networks are being extensively used in communication systems and Automatic Modulation Classification (AMC) in particular. However, they are very susceptible to small ad…
eess.SP2021★ 9 cited
SafeAMC: Adversarial training for robust modulation recognition models
Javier Maroto, Gérôme Bovet, Pascal Frossard
In communication systems, there are many tasks, like modulation recognition, which rely on Deep Neural Networks (DNNs) models. However, these models have been shown to be susceptib…
eess.SP2021
On the benefits of robust models in modulation recognition
Javier Maroto, Gérôme Bovet, Pascal Frossard
Given the rapid changes in telecommunication systems and their higher dependence on artificial intelligence, it is increasingly important to have models that can perform well under…