SYLan2019 / Transformer-Gan-Anomaly-Detection
A Transformer-based GAN for Anomaly Detection, International Conference on Artificial Neural Networks, (ICANN2022).
☆21Updated last year
Alternatives and similar repositories for Transformer-Gan-Anomaly-Detection:
Users that are interested in Transformer-Gan-Anomaly-Detection are comparing it to the libraries listed below
- Code for PAKDD 2023 paper: TSI-GAN: Unsupervised Time Series Anomaly Detection using Convolutional Cycle-Consistent Generative Adversaria…☆12Updated last month
- ☆21Updated 4 years ago
- Repository for the paper titled "Attention-based Bi-LSTM for Anomaly Detection on Time-Series Data"☆21Updated 3 years ago
- A GAN-based model focused on anomaly detection in discrete dataset☆24Updated 5 years ago
- Anomaly Detection for SWaT Dataset using Sequence-to-Sequence Neural Networks☆47Updated 5 years ago
- The implement of An Unsupervised Short- and Long-Term Mask Representation for Multivariate Time Series Anomaly Detection☆20Updated last year
- The official codes for the paper Supervised Anomaly Detection via a Class-Balanced Generative Adversarial Network☆9Updated last year
- Adaptive Memory Networks with Self-supervised Learning for Unsupervised Anomaly Detection (AMSL) -open source☆51Updated 2 years ago
- Unofficial implementation of the KDD2020 paper "USAD: UnSupervised Anomaly Detection on multivariate time series" on two datasets cited i…☆55Updated 2 years ago
- ☆71Updated 3 years ago
- ☆19Updated last year
- Code support as a published paper!☆43Updated 8 months ago
- ☆10Updated 4 years ago
- ☆10Updated last year
- Code for KDD' 21 paper: Time Series Anomaly Detection for Cyber-physical Systems via Neural System Identification and Bayesian Filtering☆41Updated last year
- CANShield: Deep Learning-Based Intrusion Detection Framework for Controller Area Networks at the Signal-Level☆13Updated 3 months ago
- CANET: An Effective CNN-Attention Model for Network Intrusion Detection☆29Updated last year
- ☆14Updated 2 years ago
- Development of a transfer learning system for the detection of cyber-attacks in 5G and IoT networks. Transfer learning will improve the a…☆13Updated 2 years ago
- Industrial datasets - datasets for evaluating industrial intrusion detection systems on IPAL.☆39Updated 10 months ago
- Anomaly detection for timeseries basing on Variational AutoEncoder.☆15Updated 2 years ago
- This project is an open-source project based on a GAN network anomaly detection.☆12Updated 5 months ago
- ☆42Updated 3 years ago
- Implementation of FGANomaly☆16Updated 3 years ago
- Training an LSTM-based autoencoder to detect anomalies in the KDD99 network traffic dataset.☆13Updated 4 years ago
- Recurrent Neural Networks based Autoencoder for Time Series Anomaly Detection☆24Updated 3 years ago
- This repository presents the implemetation of a highly optimized Deep Transfer Learning (DTL) and Genetic Algorithm (GA) based intrusion …☆13Updated last year
- ☆20Updated last year
- Code for the paper "Anomaly-Based Intrusion Detection in IIoT Networks Using Transformer Models"☆31Updated last year
- Generative adversarial networks for Network Intrusion Benchmark datasets☆32Updated 5 months ago