When Attackers Meet AI: Learning-empowered Attacks in Cooperative Spectrum Sensing-Reference-Cited by-同舟云学术

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When Attackers Meet AI: Learning-empowered Attacks in Cooperative Spectrum Sensing

Published:2020 Issue: Volume: Page:1-1
ISSN:1536-1233
Container-title:IEEE Transactions on Mobile Computing
language:
Short-container-title:IEEE Trans. on Mobile Comput.

Author:

Luo Zhengping,Zhao Shangqing,Lu Zhuo,Xu Jie,Sagduyu Yalin

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Software

Link

http://xplorestaging.ieee.org/ielx7/7755/4358975/09220838.pdf?arnumber=9220838

Cited by 26 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Securing NextG Systems against Poisoning Attacks on Federated Learning: A Game-Theoretic Solution;MILCOM 2023 - 2023 IEEE Military Communications Conference (MILCOM);2023-10-30

2. Channel Aware Adversarial Attacks are Not Robust;MILCOM 2023 - 2023 IEEE Military Communications Conference (MILCOM);2023-10-30

3. Unsupervised Learning-Based Spectrum Sensing Algorithm with Defending Adversarial Attacks;Applied Sciences;2023-08-09

4. Reinforcement learning for performance improvement in cooperative spectrum sensing;Physical Communication;2023-08

5. Robust Adversarial Attacks on Deep Learning-Based RF Fingerprint Identification;IEEE Wireless Communications Letters;2023-06

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