A hybrid training-time and run-time defense against adversarial attacks in modulation classification

L Zhang, S Lambotharan, G Zheng… - IEEE Wireless …, 2022 - ieeexplore.ieee.org
Motivated by the superior performance of deep learning in many applications including
computer vision and natural language processing, several recent studies have focused on …

A Hybrid Training-Time and Run-Time Defense Against Adversarial Attacks in Modulation Classification

L Zhang, S Lambotharan, G Zheng, G Liao… - IEEE Wirel. Commun …, 2022 - openreview.net
Motivated by the superior performance of deep learning in many applications including
computer vision and natural language processing, several recent studies have focused on …

A hybrid training-time and run-time defense against adversarial attacks in modulation classification

L Zhang, S Lambotharan, G Zheng, G Liao, A Demontis… - repository.lboro.ac.uk
Motivated by the superior performance of deep learning in many applications including
computer vision and natural language processing, several recent studies have focused on …

A Hybrid Training-Time and Run-Time Defense Against Adversarial Attacks in Modulation Classification

L Zhang, S Lambotharan, G Zheng, G Liao… - IEEE WIRELESS …, 2022 - iris.unica.it
Motivated by the superior performance of deep learning in many applications including
computer vision and natural language processing, several recent studies have focused on …

[PDF][PDF] A Hybrid Training-time and Run-time Defense Against Adversarial Attacks in Modulation Classification

L Zhang, S Lambotharan, G Zheng, G Liao, A Demontis… - iris.unica.it
Motivated by the superior performance of deep learning in many applications including
computer vision and natural language processing, several recent studies have focused on …