Timothy Lynar
According to our database1,
Timothy Lynar
authored at least 11 papers
between 2023 and 2025.
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Bibliography
2025
Are GNNs Worth the Effort for IoT Botnet Detection? A Comparative Study of VAE-GNN vs. ViT-MLP and VAE-MLP Approaches.
CoRR, May, 2025
Graph Attention Neural Network for Botnet Detection: Evaluating Autoencoder, VAE and PCA-Based Dimension Reduction.
CoRR, May, 2025
Enhancing IoT-Botnet Detection using Variational Auto-encoder and Cost-Sensitive Learning: A Deep Learning Approach for Imbalanced Datasets.
CoRR, May, 2025
Preserving Seasonal and Trend Information: A Variational Autoencoder-Latent Space Arithmetic Based Approach for Non-stationary Learning.
CoRR, April, 2025
IoT Botnet Detection: Application of Vision Transformer to Classification of Network Flow Traffic.
CoRR, April, 2025
Impact of Latent Space Dimension on IoT Botnet Detection Performance: VAE-Encoder Versus ViT-Encoder.
CoRR, April, 2025
ResDNViT: A hybrid architecture for Netflow-based attack detection using a residual dense network and Vision Transformer.
Expert Syst. Appl., 2025
2024
Beyond Words: Memetic Theory as a Lens to Expose Ideological Bias in Language Models.
Proceedings of the 11th International Conference on Soft Computing & Machine Intelligence, 2024
Proceedings of the 15th IEEE International Conference on Cognitive Infocommunications, 2024
2023
The race to robustness: exploiting fragile models for urban camouflage and the imperative for machine learning security.
CoRR, 2023