munhouiani / GEE
Pytorch implementation of GEE: A Gradient-based Explainable Variational Autoencoder for Network Anomaly Detection
☆27Updated 2 years ago
Alternatives and similar repositories for GEE
Users that are interested in GEE are comparing it to the libraries listed below
Sorting:
- Paper Implementation☆26Updated 11 months ago
- Using RL for anomaly detection in NSL-KDD☆120Updated 2 years ago
- This is repository of the paper NetDiffus: Network Traffic Generation by Diffusion Models through Time-Series Imaging.☆17Updated 7 months ago
- Explaining Anomalies Detected by Autoencoders Using SHAP☆41Updated 3 years ago
- This implementation for the paper: Learning Neural Representations for Network Anomaly Detection. If you have questions, please do not he…☆19Updated 5 years ago
- Enhancing Robustness Against Adversarial Examples in Network Intrusion Detection Systems☆22Updated 4 years ago
- Code for the paper: "Supervised contrastive learning over prototype-label embeddings for network intrusion detection"☆14Updated 3 years ago
- Forest of random partitioning trees for point-wise and collective anomaly detection☆11Updated 6 months ago
- Network Intrusion Detection System on CSE-CIC-IDS2018 using ML classifiers and DNN ( ANN , CNN , RNN ) | Hyper-parameter Optimization { l…☆20Updated 3 years ago
- LEXNet: A Lightweight, Efficient and Explainable-by-Design Convolutional Neural Network for Internet Traffic Classification☆14Updated last year
- Apply modern, deep learning techniques for anomaly detection to identify network intrusions.☆47Updated 5 months ago
- ☆49Updated 10 months ago
- ☆11Updated 3 years ago
- ☆16Updated 5 years ago
- Code for the paper: "AOC-IDS: Autonomous Online Framework with Contrastive Learning for Intrusion Detection" (Infocom 2024)☆19Updated 5 months ago
- Development of a transfer learning system for the detection of cyber-attacks in 5G and IoT networks. Transfer learning will improve the a…☆14Updated 2 years ago
- Packet Representation Learning for Traffic Classification☆29Updated 4 months ago
- ☆21Updated 2 years ago
- : An LLM Approach for Open-Set Encrypted Traffic Classification☆27Updated 5 months ago
- Codebase for the paper "Adversarial Attacks on Time Series"☆19Updated 6 years ago
- Robustness of Autoencoders for Anomaly Detection Under Adversarial Impact☆7Updated 2 years ago
- ☆9Updated last year
- Code for Stop&Hop, a method for learning to classify irregularly-sampled time series early☆18Updated 7 months ago
- A GAN-based model focused on anomaly detection in discrete dataset☆26Updated 5 years ago
- convGRU based autoencoder for unsupervised & spatial-temporal anomaly detection in computer network (PCAP) traffic.☆17Updated last year
- Repository for IEEE CCNC'21 paper titled "Edge-Detect: Edge-centric Network Intrusion Detection using Deep Neural Network".☆46Updated last year
- A Few-shot Based Model-Agnostic Meta-Learning for Intrusion Detection in Security of Internet of Things☆12Updated 2 months ago
- ☆18Updated 4 years ago
- Implement a VAE to learn a reduced state space representation from the NSL-KDD dataset, capturing essential features of normal network t…☆13Updated last year
- ☆10Updated 3 years ago