44 citations · 89 across the 7 of their papers we have counts for
3 papers · 1 filter
Low-Interception Waveform: To Prevent the Recognition of Spectrum Waveform Modulation via Adversarial Examples
Haidong Xie, Jia Tan, Xiaoying Zhang +5
Deep learning is applied to many complex tasks in the field of wireless communication, such as modulation recognition of spectrum waveforms, because of its convenience and efficien…
Blind Adversarial Training: Balance Accuracy and Robustness
Haidong Xie, Xueshuang Xiang, Naijin Liu +1
Adversarial training (AT) aims to improve the robustness of deep learning models by mixing clean data and adversarial examples (AEs). Most existing AT approaches can be grouped int…
Blind Adversarial Pruning: Balance Accuracy, Efficiency and Robustness
Haidong Xie, Lixin Qian, Xueshuang Xiang +1
With the growth of interest in the attack and defense of deep neural networks, researchers are focusing more on the robustness of applying them to devices with limited memory. Thus…