Work

GAN-Guarded Fine-Tuning: Enhancing Adversarial Robustness in NLP Models

Year: 2025

Type: conference-paper

Source: IEEE Middle East and North Africa Communications Conference (MENACOMM)

DOI: 10.1109/menacomm62946.2025.10910951

Authors: Tarek Ali, Amna Eleyan, Mohammed Al-Khalidi, Tarek Bejaoui

Institutions: Manchester Metropolitan University, University of Carthage, Université Tunis Carthage

Language: English

Topic: Adversarial Robustness in Machine Learning

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W4408402287

FWCI: 2.965

Cites: 37

Cited by: 3

Related to: 10