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

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"

8 / 58 papers shown

Title
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
Intrusion Detection in Binary Process Data: Introducing the Hamming-distance to Matrix Profiles S. D. Antón Hans D. Schotten 11 3 0 17 Jul 2020
Deep Learning-Based Anomaly Detection in Cyber-Physical Systems: Progress and Opportunities Yuan Luo Ya Xiao Long Cheng Guojun Peng D. Yao 29 160 0 30 Mar 2020
A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications Jie Gui Zhenan Sun Yonggang Wen Dacheng Tao Jieping Ye EGVM 26 818 0 20 Jan 2020
Anomaly Detection for Industrial Control Systems Using Sequence-to-Sequence Neural Networks Jonguk Kim Jeong-Han Yun HyoungChun Kim 11 61 0 12 Nov 2019
Efficient Cyber Attacks Detection in Industrial Control Systems Using Lightweight Neural Networks and PCA Moshe Kravchik A. Shabtai AAML 16 55 0 02 Jul 2019
Generative Adversarial Networks in Computer Vision: A Survey and Taxonomy Zhengwei Wang Qi She T. Ward MedIm EGVM 29 90 0 04 Jun 2019
C-RNN-GAN: Continuous recurrent neural networks with adversarial training Olof Mogren GAN 77 512 0 29 Nov 2016