The race to robustness: exploiting fragile models for urban camouflage and the imperative for machine learning security. - Harriet Farlow; Matthew Garratt; Gavin Mount; Timothy Lynar (CoRR, 2023)

Memes in the Machine: Ideological Propagation in Large Language Models. - Harriet Farlow; Claudio Ceruti; Matthew Garratt; Gavin Mount; Timothy Lynar (CogInfoCom, 2024)

Beyond Words: Memetic Theory as a Lens to Expose Ideological Bias in Language Models. - Harriet Farlow; Claudio Ceruti; Matthew Garratt; Gavin Mount; Timothy Lynar (ISCMI, 2024)

SAGA: Synthetic Audit Log Generation for APT Campaigns. - Yi-Ting Huang; Ying-Ren Guo; Yu-Sheng Yang; Guo-Wei Wong; Yu-Zih Jheng; Yeali S. Sun; Jessemyn Modini; Timothy Lynar; Meng Chang Chen (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)

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)