205 citations · 288 across the 9 of their papers we have counts for
10 papers
Beyond Generation: Using Multimodal LLMs as Detectors of LLM-Generated Deepfake Facial Images
Olivia Salamon, Virginia N. L. Franqueira, Shujun Li
As image generation models become increasingly capable of producing highly realistic content, traditional forensic techniques are struggling to keep up. This paper investigates whe…
The Use of Public Data and Free Tools in National CSIRTs' Operational Practices: A Systematic Literature Review
Sharifah Roziah Binti Mohd Kassim, Shujun Li, Budi Arief
Many CSIRTs, including national CSIRTs, routinely use public data, including open-source intelligence (OSINT) and free tools, which include open-source tools in their work. However…
Proof of Swarm Based Ensemble Learning for Federated Learning Applications
Ali Raza, Kim Phuc Tran, Ludovic Koehl +1
Ensemble learning combines results from multiple machine learning models in order to provide a better and optimised predictive model with reduced bias, variance and improved predic…
Improving Performance of Automatic Keyword Extraction (AKE) Methods Using PoS-Tagging and Enhanced Semantic-Awareness
Enes Altuncu, Jason R. C. Nurse, Yang Xu +2
Automatic keyword extraction (AKE) has gained more importance with the increasing amount of digital textual data that modern computing systems process. It has various applications…
Deepfake: Definitions, Performance Metrics and Standards, Datasets and Benchmarks, and a Meta-Review
Enes Altuncu, Virginia N. L. Franqueira, Shujun Li
Recent advancements in AI, especially deep learning, have contributed to a significant increase in the creation of new realistic-looking synthetic media (video, image, and audio) a…
A Comprehensive Survey of Natural Language Generation Advances from the Perspective of Digital Deception
Keenan Jones, Enes Altuncu, Virginia N. L. Franqueira +2
In recent years there has been substantial growth in the capabilities of systems designed to generate text that mimics the fluency and coherence of human language. From this, there…
Are You Robert or RoBERTa? Deceiving Online Authorship Attribution Models Using Neural Text Generators
Keenan Jones, Jason R. C. Nurse, Shujun Li
Recently, there has been a rise in the development of powerful pre-trained natural language models, including GPT-2, Grover, and XLM. These models have shown state-of-the-art capab…
It was hard to find the words: Using an Autoethnographic Diary Study to Understand the Difficulties of Smart Home Cyber Security Practices
Sarah Turner, Jason R. C. Nurse, Shujun Li
This study considers how well an autoethnographic diary study helps as a method to explore why families might struggle in the application of strong and cohesive cyber security meas…
Lightweight Transformer in Federated Setting for Human Activity Recognition
Ali Raza, Kim Phuc Tran, Ludovic Koehl +3
Human activity recognition (HAR) is a machine learning task with important applications in healthcare especially in the context of home care of patients and older adults. HAR is of…
Designing ECG Monitoring Healthcare System with Federated Transfer Learning and Explainable AI
Ali Raza, Kim Phuc Tran, Ludovic Koehl +1
Deep learning play a vital role in classifying different arrhythmias using the electrocardiography (ECG) data. Nevertheless, training deep learning models normally requires a large…