NetFormer Experimental Artifacts

Source code, pre-trained models, configuration files, and experimental artifacts for the paper “NetFormer: A Dual-Stream Interpretable Transformer Autoencoder for Unsupervised Network Intrusion Detection”. Includes implementation details and resources for reproducibility and evaluation on CSE-CIC-IDS2018 and UNSW-NB15 datasets. https://www.unb.ca/cic/datasets/ids-2018.htm https://research.unsw.edu.au/projects/unsw-nb15-dataset This project contains the following extended data: · Source code implementation of the NetFormer framework. · Pre-trained model weights. · Configuration and hyperparameter files. · Figure files used in the manuscript (imgs folder). Additional development materials are also available at:NetFormer GitHub Repository