Defending Adversarial Attacks on Deep Learning-Based Power Allocation in Massive MIMO Using Denoising Autoencoders
Author:
Affiliation:
1. Elmore Family School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, USA
Funder
Office of Naval Research
National Science Foundation
Defense Advanced Research Projects Agency
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Artificial Intelligence,Computer Networks and Communications,Hardware and Architecture
Link
https://ieeexplore.ieee.org/ielam/6687307/10210428/10081039-aam.pdf
Reference64 articles.
1. Deep Learning based Multi-User Power Allocation and Hybrid Precoding in Massive MIMO Systems
2. Delving into transferable adversarial examples and black-box attacks;liu;Proc Int Conf Learn Represent (ICLR),2017
3. Power Allocation in Cell-Free Massive MIMO: A Deep Learning Method
4. Boosting Adversarial Attacks with Momentum
5. Adversarial Attacks on Deep Learning Based Power Allocation in a Massive MIMO Network
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