Adversarial Attacks against Deep Learning Based Power Control in Wireless Communications-Reference-Cited by-同舟云学术

Adversarial Attacks against Deep Learning Based Power Control in Wireless Communications

Published:2021-12 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE Globecom Workshops (GC Wkshps)
language:
Short-container-title:

Author:

Kim Brian,Shi Yi,Sagduyu Yalin E.,Erpek Tugba,Ulukus Sennur

Funder

Arm

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9681915/9681831/09682097.pdf?arnumber=9682097

Reference43 articles.

1. Wireless jamming attacks under dynamic traffic uncertainty;sagduyu;International Symposium on Modeling and Optimization in Mobile Ad Hoc and Wireless Networks (WIOPT),2010

2. Jamming games in wireless networks with incomplete information

3. Over-the-air membership inference attacks as privacy threats for deep learning-based wireless signal classifiers

4. Low-cost Influence-Limiting Defense against Adversarial Machine Learning Attacks in Cooperative Spectrum Sensing

5. Adversarial machine learning based partial-model attack in IoT

Cited by 20 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. Physical Layer Overshadowing Attack on Semantic Communication System;ICC 2024 - IEEE International Conference on Communications;2024-06-09

2. Adversarial Attacks and Defenses in 6G Network-Assisted IoT Systems;IEEE Internet of Things Journal;2024-06-01

3. Adversarial Attacks on Graph Neural Networks Based Spatial Resource Management in P2P Wireless Communications;IEEE Transactions on Vehicular Technology;2024-06

4. On Protection of the Next-Generation Mobile Networks Against Adversarial Examples;Artificial Intelligence for Security;2024

5. Adversarial Attacks on Resource Management in P2P Wireless Communications;2023 IEEE International Conference on Wireless for Space and Extreme Environments (WiSEE);2023-09-06