Recaptured Image Forensics Based on Image Illumination and Texture Features. - Yuzhan Ma; Hamid Abdullah Jalab; Hassan Wasswa; Ding Fan; Minjin Ma (ICVIP, 2020)

The Proof is in the Glare: On the Privacy Risk Posed by Eyeglasses in Video Calls. - Hassan Wasswa; Abdul Serwadda (IWSPA@CODASPY, 2022)

Weaponizing IoT Sensors: When Table Choice Poses a Security Vulnerability. - Gustavo Casqueiro; Sayed Erfan Arefin; Tasnia Heya Ashrafi; Abdul Serwadda; Hassan Wasswa (TPS-ISA, 2022)

Topic Modeling Analysis of Aviation Accident Reports: A Comparative Study between LDA and NMF Models. - Aziida Nanyonga; Hassan Wasswa; Graham Wild (CoRR, 2024)

ResDNViT: A hybrid architecture for Netflow-based attack detection using a residual dense network and Vision Transformer. - Hassan Wasswa; Hussein A. Abbass; Timothy Lynar (Expert Syst. Appl., 2025)

Comparative Analysis of Topic Modeling Techniques on ATSB Text Narratives Using Natural Language Processing. - Aziida Nanyonga; Hassan Wasswa; Ugur Turhan; Keith F. Joiner; Graham Wild (CoRR, 2025)

Comparative Study of Deep Learning Architectures for Textual Damage Level Classification. - Aziida Nanyonga; Hassan Wasswa; Graham Wild (CoRR, 2025)

Sequential Classification of Aviation Safety Occurrences with Natural Language Processing. - Aziida Nanyonga; Hassan Wasswa; Ugur Turhan; Oleksandra Molloy; Graham Wild (CoRR, 2025)

Natural Language Processing and Deep Learning Models to Classify Phase of Flight in Aviation Safety Occurrences. - Aziida Nanyonga; Hassan Wasswa; Oleksandra Molloy; Ugur Turhan; Graham Wild (CoRR, 2025)

Aviation Safety Enhancement via NLP & Deep Learning: Classifying Flight Phases in ATSB Safety Reports. - Aziida Nanyonga; Hassan Wasswa; Graham Wild (CoRR, 2025)

Exploring Aviation Incident Narratives Using Topic Modeling and Clustering Techniques. - Aziida Nanyonga; Hassan Wasswa; Ugur Turhan; Keith F. Joiner; Graham Wild (CoRR, 2025)

Phase of Flight Classification in Aviation Safety using LSTM, GRU, and BiLSTM: A Case Study with ASN Dataset. - Aziida Nanyonga; Hassan Wasswa; Graham Wild (CoRR, 2025)

Impact of Latent Space Dimension on IoT Botnet Detection Performance: VAE-Encoder Versus ViT-Encoder. - Hassan Wasswa; Aziida Nanyonga; Timothy Lynar (CoRR, 2025)

IoT Botnet Detection: Application of Vision Transformer to Classification of Network Flow Traffic. - Hassan Wasswa; Timothy Lynar; Aziida Nanyonga; Hussein Abbass (CoRR, 2025)

Preserving Seasonal and Trend Information: A Variational Autoencoder-Latent Space Arithmetic Based Approach for Non-stationary Learning. - Hassan Wasswa; Aziida Nanyonga; Timothy Lynar (CoRR, 2025)

Enhancing IoT-Botnet Detection using Variational Auto-encoder and Cost-Sensitive Learning: A Deep Learning Approach for Imbalanced Datasets. - Hassan Wasswa; Timothy Lynar; Hussein A. Abbass (CoRR, 2025)

Graph Attention Neural Network for Botnet Detection: Evaluating Autoencoder, VAE and PCA-Based Dimension Reduction. - Hassan Wasswa; Hussein A. Abbass; Timothy Lynar (CoRR, 2025)

Are GNNs Worth the Effort for IoT Botnet Detection? A Comparative Study of VAE-GNN vs. ViT-MLP and VAE-MLP Approaches. - Hassan Wasswa; Hussein A. Abbass; Timothy Lynar (CoRR, 2025)