teo-sl / DPLAN_pytorchLinks
This repository contains an implementation of an anomaly detection method called DPLAN, which is based on the reinforcement learning framework. The method is described in the paper "Toward Deep Supervised Anomaly Detection: Reinforcement Learning from Partially Labeled Anomaly Data" by Pang et al.
☆13Updated last year
Alternatives and similar repositories for DPLAN_pytorch
Users that are interested in DPLAN_pytorch are comparing it to the libraries listed below
Sorting:
- Paper Implementation☆27Updated last year
- ☆16Updated 2 years ago
- Reinforcement Learning-Based Model Selection for Anomaly Detection (RLMSAD)☆30Updated 3 years ago
- Using RL for anomaly detection in NSL-KDD☆120Updated 2 years ago
- A tool for data preprocess on iTrust SWaT dataset.☆54Updated 2 years ago
- [ICDM 2020] Meta-AAD: Active Anomaly Detection with Deep Reinforcement Learning☆54Updated 2 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
- Code for the paper: "Supervised contrastive learning over prototype-label embeddings for network intrusion detection"☆15Updated 4 years ago
- ☆20Updated 7 months ago
- Official implementation of ARCUS (KDD22)☆29Updated last year
- ☆21Updated 4 years ago
- [VLDB'22] Anomaly Detection using Transformers, self-conditioning and adversarial training.☆614Updated last year
- Code support as a published paper!☆58Updated last year
- Implementation of 2 VAE architectures with LSTM and GRU for anomaly detection on sequential data☆24Updated 3 years ago
- A Simple Pytorch Implementation of LSTM-based Variational Autoencoder(VAE)☆55Updated last year
- NEGSC☆37Updated last year
- ☆19Updated 3 years ago
- This is the source code of "Intrusion Detection of Industrial Internet-of-Things Based on Reconstructed Graph Neural Networks"☆11Updated last year
- Intrusion Detection System using Deep Reinforcement Learning and Generative Adversarial Networks☆46Updated 11 months ago
- Deep learning-based outlier/anomaly detection☆540Updated last month
- convGRU based autoencoder for unsupervised & spatial-temporal anomaly detection in computer network (PCAP) traffic.☆17Updated last year
- ☆244Updated last year
- Repository for transfer learning for anomaly detection.☆15Updated 5 years ago
- Synthesis of Adversarial DDos Attacks Using Tabular Generative Adversarial Networks☆10Updated 2 years ago
- PyTorch implementation of Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy☆245Updated 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 3 years ago
- Learning Graph Structures with Transformer for Multivariate Time Series Anomaly Detection in IoT☆144Updated 3 years ago
- Code for PAKDD 2023 paper: TSI-GAN: Unsupervised Time Series Anomaly Detection using Convolutional Cycle-Consistent Generative Adversaria…☆10Updated 9 months ago
- ADRepository: Real-world anomaly detection datasets, including tabular data (categorical and numerical data), time series data, graph dat…☆411Updated 2 years ago
- Cyber-attack classification in the network traffic database using NSL-KDD dataset☆27Updated 4 years ago