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Mitigating Adversarial Obfuscation in Named Entity Recognition with Robust SecureBERT Finetuning

Year: 2025

Type: article

Abstract: Although Named Entity Recognition (NER) in cybersecurity has historically concentrated on threat intelligence, vital security data can be found in a variety of sources, such as open-source intelligence and unprocessed tool ou... | Find, read and cite all the research you need on Tech Science Press

Source: Computers, materials & continua/Computers, materials & continua (Print)

DOI: 10.32604/cmc.2025.073029

Authors: Nouman Ahmad, Changsheng Zhang, Uroosa Sehar

Institutions: Chinese Academy of Sciences, Shaoyang University, Shenzhen Institutes of Advanced Technology, Northeastern University

Language: English

Topic: Adversarial Robustness in Machine Learning

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: diamond

Funders: China Scholarship Council, Chinese Government Scholarship

OpenAlex ID: W7114902399