munhouiani / GEELinks
Pytorch implementation of GEE: A Gradient-based Explainable Variational Autoencoder for Network Anomaly Detection
☆28Updated 3 years ago
Alternatives and similar repositories for GEE
Users that are interested in GEE are comparing it to the libraries listed below
Sorting:
- Application of novel EC-GAN method on Network Intrusion Detection☆22Updated 3 years ago
- Explaining Anomalies Detected by Autoencoders Using SHAP☆43Updated 4 years ago
- Apply modern, deep learning techniques for anomaly detection to identify network intrusions.☆50Updated 8 months ago
- An online learning method used to address concept drift and model drift. Code for the paper entitled "A Lightweight Concept Drift Detecti…☆52Updated last year
- Adversarial Attacks on Deep Neural Networks for Time Series Classification☆78Updated 5 years ago
- Using RL for anomaly detection in NSL-KDD☆120Updated 2 years ago
- Generative adversarial networks for Network Intrusion Benchmark datasets☆38Updated last year
- Forest of random partitioning trees for point-wise and collective anomaly detection☆11Updated 10 months ago
- Deep distance-based outlier detection published in KDD18: Learning representations specifically for distance-based outlier detection. Few…☆48Updated 4 years ago
- This implementation for the paper: Learning Neural Representations for Network Anomaly Detection. If you have questions, please do not he…☆18Updated 6 years ago
- ☆51Updated last year
- Code for the paper: "Supervised contrastive learning over prototype-label embeddings for network intrusion detection"☆15Updated 4 years ago
- This repository is the PyTorch implementation of GAN Ensemble for Anomaly Detection.☆39Updated 4 years ago
- Anomaly Detection for SWaT Dataset using Sequence-to-Sequence Neural Networks☆49Updated 6 years ago
- Code for the paper: "AOC-IDS: Autonomous Online Framework with Contrastive Learning for Intrusion Detection" (Infocom 2024)☆23Updated 8 months ago
- [ICMLC 2018] A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection☆166Updated 2 years ago
- convGRU based autoencoder for unsupervised & spatial-temporal anomaly detection in computer network (PCAP) traffic.☆17Updated last year
- KitNET is a lightweight online anomaly detection algorithm, which uses an ensemble of autoencoders.☆243Updated last year
- Paper Implementation☆27Updated last year
- [AAAI 2022] RareGAN: Generating Samples for Rare Classes☆23Updated 2 years ago
- Anomaly Detection on Time-Evolving Streams in Real-time. Detecting intrusions (DoS and DDoS attacks), frauds, fake rating anomalies.☆122Updated last year
- Repository for IEEE CCNC'21 paper titled "Edge-Detect: Edge-centric Network Intrusion Detection using Deep Neural Network".☆46Updated 2 years ago
- Network Intrusion Detection System on CSE-CIC-IDS2018 using ML classifiers and DNN ( ANN , CNN , RNN ) | Hyper-parameter Optimization { l…☆23Updated 3 years ago
- Source code of the KDD19 paper "Deep anomaly detection with deviation networks", weakly/partially supervised anomaly detection, few-shot …☆152Updated 4 years ago
- MemStream: Memory-Based Streaming Anomaly Detection☆92Updated last year
- This repo demostrates how to use the concept of contrastive learning in an anommaly detection setting with autoencoders (also know as dis…☆15Updated 4 years ago
- GAN / AUTOENCODER for network intrusion detection using NSL-KDD dataset: https://www.kaggle.com/datasets/hassan06/nslkdd☆18Updated 2 years ago
- Code of the paper 'Neural Transformation Learning for Anomaly Detection' published in ICML 2021☆47Updated 3 years ago
- A GAN-based model focused on anomaly detection in discrete dataset☆26Updated 5 years ago
- Explaining Anomalies Detected by Autoencoders Using SHAP☆33Updated 5 years ago