Work

Detecting and Mitigating Adversarial Machine Learning in Open RAN Using Digital Twin

Year: 2025

Type: article

Source: IEEE Wireless Communications Letters

DOI: 10.1109/lwc.2025.3609661

Authors: Seyed Ahmad Soleymani, Mohsen Eslamnejad, Mohammad Shojafar, Rahim Tafazolli

Institution: University of Surrey

Language: English

Topic: Adversarial Robustness in Machine Learning

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

Funder: Engineering and Physical Sciences Research Council

Awards: CHEDDAR: Communications Hub for Empowering Distributed clouD computing Applications and Research - TMF uplift, CHEDDAR: Communications Hub For Empowering Distributed ClouD Computing Applications And Research

OpenAlex ID: W7081958478

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Cites: 15

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