Anomaly Detection with Generative Adversarial Networks for Multivariate Time Series

13 September 2018

See-kiong Ng

Papers citing "Anomaly Detection with Generative Adversarial Networks for Multivariate Time Series"

39 / 39 papers shown

Title
Adversarial Sample Generation for Anomaly Detection in Industrial Control Systems Abdul Mustafa Muhammad Talha Khan Muhammad Azmi Umer Zaki Masood Chuadhry Mujeeb Ahmed AAML 53 0 0 06 May 2025
CBIL: Collective Behavior Imitation Learning for Fish from Real Videos Yifan Wu Zhiyang Dou Yuko Ishiwaka Shun Ogawa Yuke Lou Wenping Wang Lingjie Liu Taku Komura 63 3 0 31 Mar 2025
Hypergraph Learning based Recommender System for Anomaly Detection, Control and Optimization Sakhinana Sagar Srinivas Rajat Kumar Sarkar Venkataramana Runkana AI4TS 32 2 0 21 Aug 2024
Event Detection in Time Series: Universal Deep Learning Approach Menouar Azib Benjamin Renard Philippe Garnier Vincent Génot Nicolas André AI4TS 13 1 0 27 Nov 2023
MosaiQ: Quantum Generative Adversarial Networks for Image Generation on NISQ Computers Daniel Silver Tirthak Patel William Cutler Aditya Ranjan Harshitta Gandhi Devesh Tiwari GAN 22 12 0 22 Aug 2023
Evaluation Strategy of Time-series Anomaly Detection with Decay Function Yongwan Gim Kyushik Min 24 0 0 15 May 2023
Interactive System-wise Anomaly Detection Guanchu Wang Ninghao Liu Daochen Zha Xia Hu AAML 22 1 0 21 Apr 2023
Spacecraft Anomaly Detection with Attention Temporal Convolution Network Liang Liu Ling Tian Zhao Kang Tianqi Wan AI4TS 38 28 0 13 Mar 2023
Modern Machine Learning Tools for Monitoring and Control of Industrial Processes: A Survey R. Bhushan Gopaluni Aditya Tulsyan Benoît Chachuat Biao Huang J. M. Lee Faraz Amjad S. Damarla Jong Woo Kim Nathan P. Lawrence AI4CE 21 38 0 22 Sep 2022
Robust Learning of Deep Time Series Anomaly Detection Models with Contaminated Training Data Wenkai Li Cheng Feng Tingling Chen Jun Zhu AAML AI4TS 37 6 0 03 Aug 2022
Policy Gradient Stock GAN for Realistic Discrete Order Data Generation in Financial Markets Masanori Hirano Hiroki Sakaji Kiyoshi Izumi GAN 41 6 0 28 Apr 2022
Driving Anomaly Detection Using Conditional Generative Adversarial Network Yuning Qiu Teruhisa Misu Carlos Busso 27 4 0 15 Mar 2022
Machine Learning in NextG Networks via Generative Adversarial Networks E. Ayanoglu Kemal Davaslioglu Y. Sagduyu GAN 24 34 0 09 Mar 2022
Turath-150K: Image Database of Arab Heritage Dani Kiyasseh Rasheed el-Bouri 24 0 0 01 Jan 2022
Transformaly -- Two (Feature Spaces) Are Better Than One M. Cohen S. Avidan ViT 13 27 0 08 Dec 2021
Constrained Deep One-Class Feature Learning For Classifying Imbalanced Medical Images Long Gao Chang Liu Dooman Arefan A. Panigrahy Shandong Wu 25 2 0 20 Nov 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
Improving Variational Autoencoder based Out-of-Distribution Detection for Embedded Real-time Applications Yeli Feng Daniel Jun Xian Ng Arvind Easwaran OODD 38 17 0 25 Jul 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 38 133 0 14 Feb 2021
ESAD: End-to-end Deep Semi-supervised Anomaly Detection Chaoqin Huang Fei Ye Peisen Zhao Ya Zhang Yanfeng Wang Qi Tian 27 12 0 09 Dec 2020
The Hidden Uncertainty in a Neural Networks Activations Janis Postels Hermann Blum Yannick Strümpler Cesar Cadena Roland Siegwart Luc Van Gool Federico Tombari UQCV 36 22 0 05 Dec 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 28 204 0 16 Sep 2020
Event Cause Analysis in Distribution Networks using Synchro Waveform Measurements I. Niazazari H. Livani Amir Ghasemkhani Yunchuan Liu Lei Yang 9 6 0 25 Aug 2020
Intrusion Detection in Binary Process Data: Introducing the Hamming-distance to Matrix Profiles S. D. Antón Hans D. Schotten 19 3 0 17 Jul 2020
Uncertainty-Aware Deep Classifiers using Generative Models Murat Sensoy Lance M. Kaplan Federico Cerutti Maryam Saleki UQCV OOD 22 73 0 07 Jun 2020
Hierarchical Models: Intrinsic Separability in High Dimensions Wen-Yan Lin 19 0 0 15 Mar 2020
Fast Distance-based Anomaly Detection in Images Using an Inception-like Autoencoder Natasa Sarafijanovic-Djukic Jesse Davis 30 24 0 12 Mar 2020
DROCC: Deep Robust One-Class Classification Sachin Goyal Aditi Raghunathan Moksh Jain H. Simhadri Prateek Jain VLM 28 160 0 28 Feb 2020
Acoustic anomaly detection via latent regularized gaussian mixture generative adversarial networks Chengwei Chen Pan Chen Lingyu Yang Jinyuan Mo Haichuan Song Yuan Xie Lizhuang Ma 20 1 0 04 Feb 2020
GIDS: GAN based Intrusion Detection System for In-Vehicle Network Eunbi Seo Hyun Min Song H. Kim 24 320 0 17 Jul 2019
Fence GAN: Towards Better Anomaly Detection Cuong Phuc Ngo Amadeus Aristo Winarto C. Kou Sojeong Park Farhan Akram H. Lee 17 93 0 02 Apr 2019
A Novel GAN-based Fault Diagnosis Approach for Imbalanced Industrial Time Series Wenqian Jiang Cheng Cheng Beitong Zhou Guijun Ma Ye Yuan AI4CE 29 128 0 01 Apr 2019
Probabilistic Forecasting of Sensory Data with Generative Adversarial Networks - ForGAN Alireza Koochali P. Schichtel Sheraz Ahmed Andreas Dengel AI4TS 22 73 0 29 Mar 2019
Deep Learning for Anomaly Detection: A Survey Raghavendra Chalapathy Sanjay Chawla AI4TS 41 1,479 0 10 Jan 2019
Anomaly Detection With Multiple-Hypotheses Predictions D. Nguyen Zhongyu Lou Michael Klar Thomas Brox 27 1 0 31 Oct 2018
Deep Anomaly Detection Using Geometric Transformations I. Golan Ran El-Yaniv 42 601 0 28 May 2018
Clustering with Outlier Removal Hongfu Liu Jun Yu Li Yue Wu Y. Fu 18 67 0 05 Jan 2018
C-RNN-GAN: Continuous recurrent neural networks with adversarial training Olof Mogren GAN 77 514 0 29 Nov 2016