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"Retinexformer: One-stage Retinex-based Transformer for Low-light Image Enhancement" (ICCV 2023) & (NTIRE 2024 Challenge)
Network Intrusion Detection KDDCup '99', NSL-KDD and UNSW-NB15
Payload-Byte is a tool for extracting and labeling packet capture (Pcap) files of modern network intrusion detection datasets.
Implementation of TheWebConf 2021 -- Few-shot Network Anomaly Detection via Cross-network Meta-learning
The official implementation of DMEL the method presented in the paper "DMEL: The differentiable log-Mel spectrogram as a trainable layer in neural networks".
Repository of the paper "A Systematic Evaluation of Deep Anomaly Detection Methods for Time Series".
This repository includes code for the paper "Towards Autonomous Cybersecurity: An Intelligent AutoML Framework for Autonomous Intrusion Detection" accepted in AutonomousCyber, ACM CCS, 2024.
This project aims to provided a federated solution for intrusion detection in 5G ecosystem.
Let us Unveil Network Intrusion Features: Enhancing Network Intrusion Detection Systems via XAI-based Feature Selection
A Zeek script to generate features based on timing, volume and metadata for traffic classification.
A network intrusion detection system based on incremental statistics (AfterImage) and an ensemble of autoencoders (KitNET)
Distributed Representation Learning for Trained Forests by Skip-Gram Model
Malicious traffic classification by Convolutional Neural Network
This is the code to the WACV 2023 paper "Asymmetric Student-Teacher Networks for Industrial Anomaly Detection" by Marco Rudolph, Tom Wehrbein, Bodo Rosenhahn and Bastian Wandt.
Source code of paper: (not available now)
Graph Neural Network Library for PyTorch
Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting, AAAI 2019, pytorch version
Daily feed of the latest Computer Vision research papers from https://arxiv.org.
unoffical and work in progress PyTorch implementation of CutPaste
MFR (published in Pattern Recognition 2025) official code