llien30 / EfficientGAN-based-anomaly-detection
☆10Updated 4 years ago
Alternatives and similar repositories for EfficientGAN-based-anomaly-detection:
Users that are interested in EfficientGAN-based-anomaly-detection are comparing it to the libraries listed below
- A GAN-based model focused on anomaly detection in discrete dataset☆26Updated 5 years ago
- This repository is the PyTorch implementation of GAN Ensemble for Anomaly Detection.☆39Updated 3 years ago
- ☆19Updated 2 months ago
- ☆21Updated 4 years ago
- CANShield: Deep Learning-Based Intrusion Detection Framework for Controller Area Networks at the Signal-Level☆14Updated last month
- This implementation for the paper: Learning Neural Representations for Network Anomaly Detection. If you have questions, please do not he…☆19Updated 5 years ago
- ☆72Updated 4 years ago
- A Transformer-based GAN for Anomaly Detection, International Conference on Artificial Neural Networks, (ICANN2022).☆23Updated 2 years ago
- ☆11Updated last year
- Code of Anomaly Detection by Leveraging Incomplete Anomalous Knowledge with Anomaly-Aware Bidirectional GANs☆22Updated 2 years ago
- Generative adversarial networks for Network Intrusion Benchmark datasets☆35Updated 8 months ago
- Code for the paper: "Supervised contrastive learning over prototype-label embeddings for network intrusion detection"☆14Updated 3 years ago
- The official codes for the paper Supervised Anomaly Detection via a Class-Balanced Generative Adversarial Network☆9Updated last year
- Improving Transferability of Network Intrusion Detection in a Federated Learning Setup☆12Updated last year
- Application of novel EC-GAN method on Network Intrusion Detection☆20Updated 3 years 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
- Implementation of "ConFlow: Contrast Network Flow Improving Class-Imbalanced Learning in Network Intrusion Detection"☆13Updated 2 years ago
- Anomaly Detection using PCA and BiGAN☆13Updated 4 years ago
- Intrusion Detection System using Deep Reinforcement Learning and Generative Adversarial Networks☆44Updated 7 months ago
- Repository for IEEE CCNC'21 paper titled "Edge-Detect: Edge-centric Network Intrusion Detection using Deep Neural Network".☆45Updated last year
- The proposed hybrid IDS is tested on two public network datasets, the CSE-CIC-IDS2018 and the TON IoT datasets, representing internal and…☆13Updated 2 years ago
- ☆43Updated 3 years ago
- Code for paper: Contrastive Learning Enhanced Intrusion Detection☆16Updated 2 years ago
- This repository presents the implemetation of a highly optimized Deep Transfer Learning (DTL) and Genetic Algorithm (GA) based intrusion …☆16Updated last year
- Robustness of Autoencoders for Anomaly Detection Under Adversarial Impact☆7Updated 2 years ago
- CANET: An Effective CNN-Attention Model for Network Intrusion Detection☆33Updated 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
- Anomaly Detection for SWaT Dataset using Sequence-to-Sequence Neural Networks☆47Updated 5 years ago
- We used generative adversarial networks (GANs) to do anomaly detection for time series data.☆148Updated 6 years ago
- CANTransfer: Transfer learning based intrusion detection on a controller area network using convolutional LSTM network☆12Updated 4 years ago