Work

Trojan Attack and Defense for Deep Learning Based Power Quality Disturbances Classification

Year: 2025

Type: article

Source: IEEE Transactions on Network Science and Engineering

DOI: 10.1109/tnse.2025.3567340

Authors: Sultan Uddin Khan, Mahmoud Nabil, Mohamed M. E. A. Mahmoud, Maazen AlSabaan, Tariq Alshawi

Institutions: North Carolina Agricultural and Technical State University, University of Alabama, Tennessee Technological University, King Saud University

Language: English

Topic: Adversarial Robustness in Machine Learning

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funder: National Science Foundation

Award: Excellence in Research: Towards Secure Unmanned Aerial Vehicles-based Systems

OpenAlex ID: W4410114805

FWCI: 1.631

Cites: 41

Cited by: 4

Related to: 10