agoodge / APAE
Robustness of Autoencoders for Anomaly Detection Under Adversarial Impact
☆7Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for APAE
- LUNAR: Unifying Local Outlier Detection Methods via Graph Neural Networks☆43Updated 2 years ago
- Adaptive Memory Networks with Self-supervised Learning for Unsupervised Anomaly Detection (AMSL) -open source☆47Updated 2 years ago
- This repository is the PyTorch implementation of GAN Ensemble for Anomaly Detection.☆39Updated 3 years ago
- Code of Anomaly Detection by Leveraging Incomplete Anomalous Knowledge with Anomaly-Aware Bidirectional GANs☆18Updated last year
- Implementation of TheWebConf 2021 -- Few-shot Network Anomaly Detection via Cross-network Meta-learning☆53Updated 8 months ago
- Adversarial autoencoder (basic/semi-supervised/supervised)☆26Updated 2 years ago
- ☆27Updated 2 years ago
- The official codebase for Unsupervised Anomaly Detection with Adversarial Mirrored AutoEncoders paper (UAI'21).☆16Updated 3 years ago
- [ICDM 2020] Meta-AAD: Active Anomaly Detection with Deep Reinforcement Learning☆49Updated last year
- Implementation of Robust PCA and Robust Deep Autoencoder over Time Series☆10Updated 6 years ago
- Resources and environment for unsupervised outlier model selection (UOMS)☆23Updated 2 years ago
- ☆10Updated 3 years ago
- [CIKM 2022] Towards Automated Over-Sampling for Imbalanced Classification☆10Updated last year
- Codebase for the paper "Adversarial Attacks on Time Series"☆20Updated 5 years ago
- ☆8Updated 4 years ago
- This repository is the implementation of Deep Dirichlet Process Mixture Models (UAI 2022)☆12Updated 2 years ago
- Code for KDD' 21 paper: Time Series Anomaly Detection for Cyber-physical Systems via Neural System Identification and Bayesian Filtering☆41Updated last year
- ☆25Updated 5 months ago
- Code of the paper 'Neural Transformation Learning for Anomaly Detection' published in ICML 2021☆37Updated 2 years ago
- Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection☆61Updated 4 years ago
- This implementation for the paper: Learning Neural Representations for Network Anomaly Detection. If you have questions, please do not he…☆18Updated 5 years ago
- Tutorial for Anomaly Detection☆18Updated 11 months ago
- ☆15Updated 3 years ago
- ☆14Updated last year
- Adversarial Attacks on Deep Neural Networks for Time Series Classification☆72Updated 4 years ago
- Implementation of 'Self-Adversarial Variational Autoencoder with Gaussian Anomaly Prior Distribution for Anomaly Detection'☆19Updated 3 years ago
- Companion code for the self-supervised anomaly detection algorithm proposed in the paper "Detecting Anomalies within Time Series using Lo…☆15Updated 3 years ago
- a time series anomaly detection method based on the calibrated one-class classifier☆56Updated 9 months ago
- ☆19Updated 2 years ago
- ☆26Updated 10 months ago