Detection Tolerant Black-Box Adversarial Attack Against Automatic Modulation Classification With Deep Learning-Reference-Cited by-同舟云学术

Detection Tolerant Black-Box Adversarial Attack Against Automatic Modulation Classification With Deep Learning

Author:

Qi Peihan¹^ORCID,Jiang Tao²^ORCID,Wang Lizhan³,Yuan Xu⁴^ORCID,Li Zan¹^ORCID

Affiliation:

1. State Key Laboratory of Integrated Service Networks, Xidian University, Xi’an, China

2. School of Cyber Engineering, Xidian University, Xi’an, China

3. Guangzhou Institute of Technology, Xidian University, Guangzhou, China

4. School of Computing and Informatics, University of Louisiana at Lafayette, Lafayette, LA, USA

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

NSF

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Safety, Risk, Reliability and Quality

Link

Reference51 articles.

3. Fast deep learning for automatic modulation classification;ramjee,2019

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