How to Launch Jamming Attacks on Federated Learning in NextG Wireless Networks
Author:
Affiliation:
1. Commonwealth Cyber Initiative, Virginia Tech,Arlington,VA,USA
2. National Security Institute,Virginia Tech,Arlington,VA,USA
Funder
Arm
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10008390/10008474/10008669.pdf?arnumber=10008669
Reference27 articles.
1. Deep Learning for Launching and Mitigating Wireless Jamming Attacks
2. Adversarial Machine Learning in Wireless Communications Using RF Data: A Review
3. Over-the-Air Adversarial Attacks on Deep Learning Based Modulation Classifier over Wireless Channels
4. Adversarial Attacks on Deep-Learning Based Radio Signal Classification
5. Adversarial machine learning;vorobeychik;Synthesis Lectures on Artificial Intelligence and Machine Learning,2018
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2. The Threat of Disruptive Jamming to Blockchain-Based Decentralized Federated Learning in Wireless Networks;Sensors;2024-01-15
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4. Securing NextG Systems against Poisoning Attacks on Federated Learning: A Game-Theoretic Solution;MILCOM 2023 - 2023 IEEE Military Communications Conference (MILCOM);2023-10-30
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