Experimental Study of Adversarial Attacks on ML-Based xApps in O-RAN
Author:
Affiliation:
1. George Mason University,NextG Wireless Lab,Fairfax,VA,USA,22030
2. Institute for the Wireless Internet of Things, Northeastern University,Boston,USA
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10436708/10436716/10437125.pdf?arnumber=10437125
Reference23 articles.
1. O-RAN Architecture Description 5.00;O-RAN Working Group 1,2021
2. Hosting AI/ML Workflows on O-RAN RIC Platform
3. Intelligence and Learning in O-RAN for Data-Driven NextG Cellular Networks
4. Intelligent O-RAN for Beyond 5G and 6G Wireless Networks
5. Deep Learning for RF Fingerprinting: A Massive Experimental Study
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1. Unmasking Vulnerabilities: Adversarial Attacks against DRL-based Resource Allocation in O-RAN;ICC 2024 - IEEE International Conference on Communications;2024-06-09
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