mlsanityData to 7 Oct 2026

TAnoGAN: Time Series Anomaly Detection with Generative Adversarial Networks

arXiv 2008.09567 ↗First posted 21 Aug 2020cs.CV cs.LG stat.MLcited by 29

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Abstract (arXiv)

Anomaly detection in time series data is a significant problem faced in many application areas such as manufacturing, medical imaging and cyber-security. Recently, Generative Adversarial Networks (GAN) have gained attention for generation and anomaly detection in image domain. In this paper, we propose a novel GAN-based unsupervised method called TAnoGan for detecting anomalies in time series when a small number of data points are available. We evaluate TAnoGan with 46 real-world time series datasets that cover a variety of domains. Extensive experimental results show that TAnoGan performs better than traditional and neural network models.

Key facts. Cited by 29 papers in the map (data through 7 Oct 2026). First posted on arXiv 21 Aug 2020.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 2; 2022: 4; 2023: 9; 2024: 6; 2025: 4; 2026: 4.

29 papers.

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  1. 2022Deep Learning for Time Series Anomaly Detection: A Surveycited by 130
  2. 2023Navigating the Metric Maze: A Taxonomy of Evaluation Metrics for Anomaly Detection in Time Seriescited by 24
  3. 2023A Comprehensive Survey of Deep Transfer Learning for Anomaly Detection in Industrial Time Series: Methods, Applications, and Directionscited by 22
  4. 2024Anomaly Detection in Dynamic Graphs: A Comprehensive Surveycited by 18
  5. 2021MemStream: Memory-Based Streaming Anomaly Detectioncited by 12
  6. 2023Unsupervised Deep Learning for IoT Time Seriescited by 11
  7. 2023DDMT: Denoising Diffusion Mask Transformer Models for Multivariate Time Series Anomaly Detectioncited by 9
  8. 2023Impacts and Risk of Generative AI Technology on Cyber Defensecited by 8
  9. 2025Robust and Explainable Detector of Time Series Anomaly via Augmenting Multiclass Pseudo-Anomaliescited by 7
  10. 2024Generative adversarial wavelet neural operator: Application to fault detection and isolation of multivariate time series datacited by 6
  11. 2023ALGAN: Time Series Anomaly Detection with Adjusted-LSTM GANcited by 4
  12. 2024Explaining Time Series Classification Predictions via Causal Attributionscited by 4
17 more
  1. 2024Generative AI for Data Augmentation in Wireless Networks: Analysis, Applications, and Case Studycited by 4
  2. 2022Stacked Residuals of Dynamic Layers for Time Series Anomaly Detectioncited by 3
  3. 2021GraphAnoGAN: Detecting Anomalous Snapshots from Attributed Graphscited by 2
  4. 2025QualityFM: a Multimodal Physiological Signal Foundation Model with Self-Distillation for Signal Quality Challenges in Critically Ill Patientscited by 2
  5. 2023MadSGM: Multivariate Anomaly Detection with Score-based Generative Modelscited by 1
  6. 2023Detecting subtle cyberattacks on adaptive cruise control vehicles: A machine learning approachcited by 1
  7. 2025A Problem-Oriented Taxonomy of Evaluation Metrics for Time Series Anomaly Detectioncited by 1
  8. 2026On the Tradeoffs of On-Device Generative Models in Federated Predictive Maintenance Systemscited by 1
  9. 2022Recurrent Auto-Encoder With Multi-Resolution Ensemble and Predictive Coding for Multivariate Time-Series Anomaly Detectioncited by 0
  10. 2022DEGAN: Time Series Anomaly Detection using Generative Adversarial Network Discriminators and Density Estimationcited by 0
  11. 2023Correlation-Driven Multi-Level Multimodal Learning for Anomaly Detection on Multiple Energy Sourcescited by 0
  12. 2024Accurate and fast anomaly detection in industrial processes and IoT environmentscited by 0
  13. 2024Anomalous Change Point Detection Using Probabilistic Predictive Codingcited by 0
  14. 2025Prospective Multi-Graph Cohesion for Multivariate Time Series Anomaly Detectioncited by 0
  15. 2026Selective Denoising Diffusion Model for Time Series Anomaly Detectioncited by 0
  16. 2026Learning Unified Representations of Normalcy for Time Series Anomaly Detectioncited by 0
  17. 2026Lightweight Multi-Scale Anomaly Detection for Resource-Constrained Edge Devicescited by 0