MAD-GAN: Multivariate Anomaly Detection for Time Series Data with Generative Adversarial Networks

15 January 2019

See-Kiong Ng

Papers citing "MAD-GAN: Multivariate Anomaly Detection for Time Series Data with Generative Adversarial Networks"

50 / 56 papers shown

Title
GAL-MAD: Towards Explainable Anomaly Detection in Microservice Applications Using Graph Attention Networks Lahiru Akmeemana Chamodya Attanayake Husni Faiz Sandareka Wickramanayake MLAU AI4TS 64 0 0 31 Mar 2025
A Survey of Anomaly Detection in Cyber-Physical Systems Danial Abshari Meera Sridhar 44 3 0 18 Feb 2025
GCAD: Anomaly Detection in Multivariate Time Series from the Perspective of Granger Causality Zehao Liu Mengzhou Gao Pengfei Jiao CML AI4TS 45 1 0 23 Jan 2025
Hypergraph Learning based Recommender System for Anomaly Detection, Control and Optimization Sakhinana Sagar Srinivas Rajat Kumar Sarkar Venkataramana Runkana AI4TS 29 2 0 21 Aug 2024
AIGC for Industrial Time Series: From Deep Generative Models to Large Generative Models Lei Ren Haiteng Wang Yang Tang Yang Tang Chunhua Yang AI4TS AI4CE 49 5 0 16 Jul 2024
Seamless Monitoring of Stress Levels Leveraging a Universal Model for Time Sequences Davide Gabrielli Bardh Prenkaj Paola Velardi 34 0 0 04 Jul 2024
Towards a General Time Series Anomaly Detector with Adaptive Bottlenecks and Dual Adversarial Decoders Qichao Shentu Beibu Li Kai Zhao Yang Shu Zhongwen Rao Lujia Pan Bin Yang Chenjuan Guo AI4TS 53 5 0 24 May 2024
Generative Adversarial Network with Soft-Dynamic Time Warping and Parallel Reconstruction for Energy Time Series Anomaly Detection Hardik Prabhu J. Valadi P. Arjunan AI4TS 43 1 0 22 Feb 2024
MST-GAT: A Multimodal Spatial-Temporal Graph Attention Network for Time Series Anomaly Detection Chaoyue Ding Shiliang Sun Jing Zhao AI4TS 30 140 0 17 Oct 2023
MadSGM: Multivariate Anomaly Detection with Score-based Generative Models Haksoo Lim Sewon Park Minjung Kim Jaehoon Lee S. Lim Noseong Park 34 3 0 29 Aug 2023
A Comprehensive Survey of Deep Transfer Learning for Anomaly Detection in Industrial Time Series: Methods, Applications, and Directions Peng Yan Ahmed Abdulkadir Paul-Philipp Luley Matthias Rosenthal Gerrit A. Schatte Benjamin Grewe Thilo Stadelmann AI4TS 36 57 0 11 Jul 2023
CyPhERS: A Cyber-Physical Event Reasoning System providing real-time situational awareness for attack and fault response Nils Müller Kaibin Bao Jörg Matthes K. Heussen 33 5 0 26 May 2023
Correlation-Driven Multi-Level Multimodal Learning for Anomaly Detection on Multiple Energy Sources Taehee Kim Yuxing Tang 16 0 0 01 May 2023
Interpretable Anomaly Detection via Discrete Optimization Simon Lutz Florian Wittbold Simon Dierl Benedikt Böing F. Howar Barbara König Emmanuel Müller Daniel Neider AAML 27 0 0 24 Mar 2023
Spacecraft Anomaly Detection with Attention Temporal Convolution Network Liang Liu L. Tian Zhao Kang Tianqi Wan AI4TS 33 27 0 13 Mar 2023
Navigating the Metric Maze: A Taxonomy of Evaluation Metrics for Anomaly Detection in Time Series Sondre Sørbø M. Ruocco AI4TS 34 19 0 02 Mar 2023
AER: Auto-Encoder with Regression for Time Series Anomaly Detection Lawrence Wong Dongyu Liu Laure Berti-Equille Sarah Alnegheimish K. Veeramachaneni AI4TS 9 18 0 27 Dec 2022
A Novel Self-Supervised Learning-Based Anomaly Node Detection Method Based on an Autoencoder in Wireless Sensor Networks Miao Ye Qinghao Zhang Xingsi Xue Yong Wang Qiuxiang Jiang Hongbing Qiu 13 0 0 26 Dec 2022
An Anomaly Detection Method for Satellites Using Monte Carlo Dropout Mohammad Amin Maleki Sadr Yeying Zhu Peng Hu BDL 24 16 0 27 Nov 2022
Are we certain it's anomalous? Alessandro Flaborea Bardh Prenkaj Bharti Munjal Marco Aurelio Sterpa Dario Aragona L. Podo Fabio Galasso 24 8 0 16 Nov 2022
DEGAN: Time Series Anomaly Detection using Generative Adversarial Network Discriminators and Density Estimation Yueyang Gu F. Jazizadeh AI4TS 18 0 0 05 Oct 2022
Denoising Architecture for Unsupervised Anomaly Detection in Time-Series Wadie Skaf Tomávs Horváth AI4TS 19 1 0 30 Aug 2022
Robust Learning of Deep Time Series Anomaly Detection Models with Contaminated Training Data Wenkai Li Cheng Feng Tingling Chen Jun Zhu AAML AI4TS 23 6 0 03 Aug 2022
AI Augmented Edge and Fog Computing: Trends and Challenges Shreshth Tuli Fatemeh Mirhakimi Samodha Pallewatta Syed Zawad G. Casale B. Javadi Feng Yan Rajkumar Buyya N. Jennings 21 56 0 01 Aug 2022
LPC-AD: Fast and Accurate Multivariate Time Series Anomaly Detection via Latent Predictive Coding Zhi Qi Hong Xie Ye Li Jian Tan Feifei Li John C. S. Lui AI4TS 11 1 0 05 May 2022
Multi-scale Anomaly Detection for Big Time Series of Industrial Sensors Quan-Xin Ding Shenghua Liu Bin Zhou Huawei Shen Xueqi Cheng AI4TS AI4CE 14 1 0 18 Apr 2022
Machine Learning in NextG Networks via Generative Adversarial Networks E. Ayanoglu Kemal Davaslioglu Y. Sagduyu GAN 21 34 0 09 Mar 2022
A Novel Anomaly Detection Method for Multimodal WSN Data Flow via a Dynamic Graph Neural Network Qinghao Zhang Miao Ye Hongbing Qiu Yong Wang Xiaofang Deng 20 13 0 19 Feb 2022
Contrastive predictive coding for Anomaly Detection in Multi-variate Time Series Data Theivendiram Pranavan Terence Sim Arulmurugan Ambikapathi Savitha Ramasamy AI4TS 26 7 0 08 Feb 2022
Time-Series Anomaly Detection with Implicit Neural Representation Kyeong-Joong Jeong Yong-Min Shin BDL AI4TS 43 15 0 28 Jan 2022
Community-based anomaly detection using spectral graph filtering Rodrigo Francisquini A. C. Lorena M. C. Nascimento 22 14 0 24 Jan 2022
TranAD: Deep Transformer Networks for Anomaly Detection in Multivariate Time Series Data Shreshth Tuli G. Casale N. Jennings AI4TS 26 471 0 18 Jan 2022
Anomaly Detection in Cyber-Physical Systems: Reconstruction of a Prediction Error Feature Space Nuno Oliveira Norberto Sousa Jorge Oliveira Isabel Praça AI4CE 13 4 0 29 Dec 2021
A Multi-View Framework for BGP Anomaly Detection via Graph Attention Network Songtao Peng Jiaqi Nie Xincheng Shu Zhongyuan Ruan Lei Wang Yunxuan Sheng Qi Xuan AI4TS 17 20 0 23 Dec 2021
PreGAN: Preemptive Migration Prediction Network for Proactive Fault-Tolerant Edge Computing Shreshth Tuli G. Casale N. Jennings 32 38 0 04 Dec 2021
Federated Variational Learning for Anomaly Detection in Multivariate Time Series Kai Zhang Yushan Jiang Lee M. Seversky Chengtao Xu Dahai Liu H. Song AI4TS 12 26 0 18 Aug 2021
Unsupervised Deep Anomaly Detection for Multi-Sensor Time-Series Signals Yu-xin Zhang Yiqiang Chen Jindong Wang Zhiwen Pan AI4TS 21 189 0 27 Jul 2021
Generative adversarial networks in time series: A survey and taxonomy Eoin Brophy Zhengwei Wang Qi She Tomas E. Ward EGVM AI4TS 14 57 0 23 Jul 2021
Neural Contextual Anomaly Detection for Time Series Chris U. Carmona Franccois-Xavier Aubet Valentin Flunkert Jan Gasthaus BDL AI4TS 59 63 0 16 Jul 2021
Graph Neural Network-Based Anomaly Detection in Multivariate Time Series Ailin Deng Bryan Hooi AI4TS 15 847 0 13 Jun 2021
Resilient Machine Learning for Networked Cyber Physical Systems: A Survey for Machine Learning Security to Securing Machine Learning for CPS Felix O. Olowononi D. Rawat Chunmei Liu 34 132 0 14 Feb 2021
A Survey on Industrial Control System Testbeds and Datasets for Security Research Mauro Conti Denis Donadel Federico Turrin 14 136 0 10 Feb 2021
NVAE-GAN Based Approach for Unsupervised Time Series Anomaly Detection Liang Xu Liying Zheng Weijun Li Zhenbo Chen Weishun Song Yue Deng Yongzhe Chang Jing Xiao Bo Yuan AI4TS 29 9 0 08 Jan 2021
On the Usage of Generative Models for Network Anomaly Detection in Multivariate Time-Series G. González P. Casas Alicia Fernández G. Gómez 19 17 0 16 Oct 2020
Anomaly Detection and Sampling Cost Control via Hierarchical GANs Chen Zhong M. C. Gursoy Senem Velipasalar AI4TS 13 4 0 28 Sep 2020
Decision-Aware Conditional GANs for Time Series Data He Sun Zhun Deng Hui Chen David C. Parkes CML AI4TS 27 17 0 26 Sep 2020
TadGAN: Time Series Anomaly Detection Using Generative Adversarial Networks Alexander Geiger Dongyu Liu Sarah Alnegheimish Alfredo Cuesta-Infante K. Veeramachaneni AI4TS 20 204 0 16 Sep 2020
Anomaly Detection by Recombining Gated Unsupervised Experts Jan-Philipp Schulze Philip Sperl Konstantin Böttinger 29 1 0 31 Aug 2020
TAnoGAN: Time Series Anomaly Detection with Generative Adversarial Networks M. A. Bashar R. Nayak GAN AI4TS 12 102 0 21 Aug 2020
A Survey on Device Behavior Fingerprinting: Data Sources, Techniques, Application Scenarios, and Datasets Pedro Miguel Sánchez Sánchez José María Jorquera Valero Alberto Huertas Celdrán Gérome Bovet M. Pérez Gregorio Martínez Pérez 27 95 0 07 Aug 2020