Efficient GAN-Based Anomaly Detection

17 February 2018

Papers citing "Efficient GAN-Based Anomaly Detection"

50 / 65 papers shown

Title
Adventurer: Exploration with BiGAN for Deep Reinforcement Learning Yongshuai Liu Xin Liu GAN 103 2 0 24 Mar 2025
Historical Printed Ornaments: Dataset and Tasks Sayan Kumar Chaki Z. S. Baltaci Elliot Vincent Remi Emonet Fabienne Vial-Bonacci Christelle Bahier-Porte Mathieu Aubry Thierry Fournel 44 0 0 16 Aug 2024
Detecting Abnormal Operations in Concentrated Solar Power Plants from Irregular Sequences of Thermal Images Sukanya Patra Nicolas Sournac Souhaib Ben Taieb 39 1 0 23 Jun 2024
Using Deep Convolutional Neural Networks to Detect Rendered Glitches in Video Games Carlos Garcia Ling Konrad Tollmar Linus Gisslén 43 18 0 12 Jun 2024
MAPL: Memory Augmentation and Pseudo-Labeling for Semi-Supervised Anomaly Detection Junzhuo Chen Shitong Kang 39 0 0 10 May 2024
Learning Energy-Based Prior Model with Diffusion-Amortized MCMC Peiyu Yu Y. Zhu Sirui Xie Xiaojian Ma Ruiqi Gao Song-Chun Zhu Ying Nian Wu DiffM 29 12 0 05 Oct 2023
IoT Threat Detection Testbed Using Generative Adversarial Networks Farooq Shaikh E. Bou-Harb Aldin Vehabovic J. Crichigno Aysegul Yayimli Nasir Ghani 16 2 0 24 May 2023
Imbalanced Aircraft Data Anomaly Detection Hao Yang Junyuan Gao Yuan. Yuan Xuelong Li AI4TS 19 4 0 17 May 2023
Confidence-Aware and Self-Supervised Image Anomaly Localisation Johanna P. Müller Matthew Baugh Jeremy Tan Mischa Dombrowski Bernhard Kainz UQCV OOD 24 4 0 23 Mar 2023
Brainomaly: Unsupervised Neurologic Disease Detection Utilizing Unannotated T1-weighted Brain MR Images M. R. Siddiquee Jay Shah Teresa Wu C. Chong T. Schwedt Gina M. Dumkrieger S. Nikolova Baoxin Li MedIm 33 11 0 18 Feb 2023
A Tale of Two Latent Flows: Learning Latent Space Normalizing Flow with Short-run Langevin Flow for Approximate Inference Jianwen Xie Y. Zhu Yifei Xu Dingcheng Li Ping Li BDL DRL 24 7 0 23 Jan 2023
Detecting Anomalies using Generative Adversarial Networks on Images Rushikesh Zawar Krupa Bhayani Neelanjan Bhowmik K. Tiwari Dhiraj Sangwan GAN 28 2 0 24 Nov 2022
Multi-Level Knowledge Distillation for Out-of-Distribution Detection in Text Qianhui Wu Huiqiang Jiang Haonan Yin Börje F. Karlsson Chin-Yew Lin 35 10 0 21 Nov 2022
SSDBCODI: Semi-Supervised Density-Based Clustering with Outliers Detection Integrated Jiahao Deng Eli T. Brown 17 0 0 10 Aug 2022
Using EBGAN for Anomaly Intrusion Detection Yinxue Cui Wenfeng Shen Jian Zhang Weijia Lu Chuang Liu Lingge Sun Sisi Chen 21 3 0 21 Jun 2022
Self-Supervised Masking for Unsupervised Anomaly Detection and Localization Chaoqin Huang Qinwei Xu Yanfeng Wang Yu Wang Ya Zhang 37 66 0 13 May 2022
ARCADE: Adversarially Regularized Convolutional Autoencoder for Network Anomaly Detection W. T. Lunardi Martin Andreoni Lopez J. Giacalone 24 22 0 03 May 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
Anomaly Detection by Leveraging Incomplete Anomalous Knowledge with Anomaly-Aware Bidirectional GANs Bowen Tian Qinliang Su Jian Yin 31 18 0 28 Apr 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 19 1 0 18 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 21 34 0 09 Mar 2022
Regional-Local Adversarially Learned One-Class Classifier Anomalous Sound Detection in Global Long-Term Space Yuyang Sha J. Faber S. Gou Bonnie M. Liu Wei Li ... T. Steckenreiter D. Vnucec Nadine Wetzstein A. Widl Kai Zhou AAML 33 6 0 26 Feb 2022
CheXstray: Real-time Multi-Modal Data Concordance for Drift Detection in Medical Imaging AI Arjun Soin J. Merkow Jin Long Joseph Paul Cohen Smitha Saligrama Stephen Kaiser Steven Borg Ivan Tarapov M. Lungren OOD 53 15 0 06 Feb 2022
SAFE-OCC: A Novelty Detection Framework for Convolutional Neural Network Sensors and its Application in Process Control J. Pulsipher Luke D. J. Coutinho Tyler A. Soderstrom Victor M. Zavala HAI 12 7 0 03 Feb 2022
on the effectiveness of generative adversarial network on anomaly detection Laya Rafiee T. Fevens 28 5 0 31 Dec 2021
Transformaly -- Two (Feature Spaces) Are Better Than One M. Cohen S. Avidan ViT 13 27 0 08 Dec 2021
Distributed Anomaly Detection in Edge Streams using Frequency based Sketch Datastructures Prateek Chanda Malay Bhattacharya 21 1 0 27 Nov 2021
OMASGAN: Out-of-Distribution Minimum Anomaly Score GAN for Sample Generation on the Boundary Nikolaos Dionelis Mehrdad Yaghoobi Sotirios A. Tsaftaris OODD 23 6 0 28 Oct 2021
Generalized Out-of-Distribution Detection: A Survey Jingkang Yang Kaiyang Zhou Yixuan Li Ziwei Liu 188 879 0 21 Oct 2021
Visual Anomaly Detection for Images: A Survey Jie Yang Rui Xu Zhiquan Qi Yong Shi 25 35 0 27 Sep 2021
New Perspective on Progressive GANs Distillation for One-class Novelty Detection Zhiwei Zhang Yu Dong Hanyu Peng Shifeng Chen 29 0 0 15 Sep 2021
LEA-Net: Layer-wise External Attention Network for Efficient Color Anomaly Detection Ryoya Katafuchi T. Tokunaga 14 3 0 12 Sep 2021
Efficient Out-of-Distribution Detection Using Latent Space of $β$ -VAE for Cyber-Physical Systems Shreyas Ramakrishna Zahra Rahiminasab G. Karsai Arvind Easwaran Abhishek Dubey OODD 19 27 0 26 Aug 2021
Out-of-Distribution Detection Using Outlier Detection Methods Jan Diers Christian Pigorsch OODD 24 3 0 18 Aug 2021
Divide-and-Assemble: Learning Block-wise Memory for Unsupervised Anomaly Detection Jinlei Hou Yingying Zhang Qiaoyong Zhong Di Xie Shiliang Pu Hong Zhou 27 142 0 28 Jul 2021
Boundary of Distribution Support Generator (BDSG): Sample Generation on the Boundary Nikolaos Dionelis Mehrdad Yaghoobi Sotirios A. Tsaftaris 18 12 0 21 Jul 2021
OpenGAN: Open-Set Recognition via Open Data Generation Shu Kong Deva Ramanan 13 212 0 07 Apr 2021
Attention Map-guided Two-stage Anomaly Detection using Hard Augmentation J. Song Kyeongbo Kong Ye In Park Suk-Ju Kang 19 3 0 31 Mar 2021
Distribution-Aware Testing of Neural Networks Using Generative Models Swaroopa Dola Matthew B. Dwyer M. Soffa 32 52 0 26 Feb 2021
Probabilistic Outlier Detection and Generation S. Rizzo L. Pang Yixian Chen S. Chawla 13 0 0 22 Dec 2020
Out-of-Distribution Detection for Automotive Perception Julia Nitsch Masha Itkina Ransalu Senanayake Juan I. Nieto M. Schmidt Roland Siegwart Mykel J. Kochenderfer Cesar Cadena UQCV 20 63 0 03 Nov 2020
On the Usage of Generative Models for Network Anomaly Detection in Multivariate Time-Series G. González P. Casas Alicia Fernández G. Gómez 24 17 0 16 Oct 2020
Unsupervised Region-based Anomaly Detection in Brain MRI with Adversarial Image Inpainting B. Nguyen Adam Feldman S. Bethapudi A. Jennings Chris G. Willcocks 30 29 0 05 Oct 2020
TAnoGAN: Time Series Anomaly Detection with Generative Adversarial Networks M. A. Bashar R. Nayak GAN AI4TS 20 102 0 21 Aug 2020
Enhancing Robustness Against Adversarial Examples in Network Intrusion Detection Systems Mohammad J. Hashemi Eric Keller AAML 11 25 0 09 Aug 2020
Rethinking Assumptions in Deep Anomaly Detection Lukas Ruff Robert A. Vandermeulen Billy Joe Franks Klaus-Robert Muller Marius Kloft 19 89 0 30 May 2020
Deep Learning-Based Anomaly Detection in Cyber-Physical Systems: Progress and Opportunities Yuan Luo Ya Xiao Long Cheng Guojun Peng D. Yao 32 160 0 30 Mar 2020
Unsupervised Discovery, Control, and Disentanglement of Semantic Attributes with Applications to Anomaly Detection William Paul I-J. Wang F. Alajaji Philippe Burlina DiffM DRL 21 6 0 25 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