Deep Learning for Anomaly Detection: A Survey

10 January 2019

Papers citing "Deep Learning for Anomaly Detection: A Survey"

50 / 148 papers shown

Title
Acoustic Anomaly Detection on UAM Propeller Defect with Acoustic dataset for Crack of drone Propeller (ADCP) Juho Lee Donghyun Yoon Gumoon Jeong Hyeoncheol Kim 35 0 0 02 Mar 2025
An Expert Ensemble for Detecting Anomalous Scenes, Interactions, and Behaviors in Autonomous Driving Tianchen Ji Neeloy Chakraborty Andre Schreiber Katherine Rose Driggs-Campbell 146 1 0 23 Feb 2025
A Review on Self-Supervised Learning for Time Series Anomaly Detection: Recent Advances and Open Challenges Aitor Sánchez-Ferrera Borja Calvo Jose A. Lozano AI4TS 37 0 0 28 Jan 2025
Kernel-Based Anomaly Detection Using Generalized Hyperbolic Processes Pauline Bourigault Danilo P. Mandic 53 0 0 28 Jan 2025
Machine Learning-based vs Deep Learning-based Anomaly Detection in Multivariate Time Series for Spacecraft Attitude Sensors R. Gallon F. Schiemenz A. Krstova A. Menicucci E. Gill 21 0 0 26 Sep 2024
Abnormal Event Detection In Videos Using Deep Embedding Darshan Venkatrayappa 18 0 0 15 Sep 2024
GeneralAD: Anomaly Detection Across Domains by Attending to Distorted Features Luc P.J. Strater Mohammadreza Salehi E. Gavves Cees G. M. Snoek Yuki M. Asano 41 7 0 17 Jul 2024
Using Deep Convolutional Neural Networks to Detect Rendered Glitches in Video Games Carlos Garcia Ling Konrad Tollmar Linus Gisslén 35 18 0 12 Jun 2024
Anomaly Detection in Dynamic Graphs: A Comprehensive Survey Ocheme Anthony Ekle William Eberle AI4TS 32 10 0 31 May 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
Health Index Estimation Through Integration of General Knowledge with Unsupervised Learning Kristupas Bajarunas Marcia Baptista Kai Goebel M. A. Chao 24 3 0 08 May 2024
CANEDERLI: On The Impact of Adversarial Training and Transferability on CAN Intrusion Detection Systems Francesco Marchiori Mauro Conti AAML 24 0 0 06 Apr 2024
Long-Tailed Anomaly Detection with Learnable Class Names Chih-Hui Ho Kuan-Chuan Peng Nuno Vasconcelos OODD 43 6 0 29 Mar 2024
Label-Free Multivariate Time Series Anomaly Detection Qihang Zhou Shibo He Haoyu Liu Jiming Chen Wenchao Meng AI4TS 19 10 0 17 Dec 2023
Event Detection in Time Series: Universal Deep Learning Approach Menouar Azib Benjamin Renard Philippe Garnier Vincent Génot Nicolas André AI4TS 11 1 0 27 Nov 2023
Matching aggregate posteriors in the variational autoencoder Surojit Saha Sarang Joshi Ross T. Whitaker DRL 34 4 0 13 Nov 2023
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
Benchmarks for Detecting Measurement Tampering Fabien Roger Ryan Greenblatt Max Nadeau Buck Shlegeris Nate Thomas 28 2 0 29 Aug 2023
A Survey of Imbalanced Learning on Graphs: Problems, Techniques, and Future Directions Zemin Liu Yuan N. Li Nan-Fang Chen Qian Wang Bryan Hooi Bin He FaML 14 13 0 26 Aug 2023
Anomaly Detection in Automated Fibre Placement: Learning with Data Limitations Assef Ghamisi Todd Charter Li Ji M. Rivard G. Lund H. Najjaran 29 7 0 15 Jul 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
Contextual Affinity Distillation for Image Anomaly Detection Jie Zhang Masanori Suganuma Takayuki Okatani 39 14 0 06 Jul 2023
Naeural AI OS -- Decentralized ubiquitous computing MLOps execution engine Beatrice Milik S. Saraev Cristian Bleotiu Radu Lupaescu 19 0 0 14 Jun 2023
AD-NEV: A Scalable Multi-level Neuroevolution Framework for Multivariate Anomaly Detection Marcin Pietroñ Dominik Zurek Kamil Faber Roberto Corizzo 24 3 0 25 May 2023
Technical outlier detection via convolutional variational autoencoder for the ADMANI breast mammogram dataset Hui Li C. Peña-Solórzano Susan Wei Davis J. McCarthy 20 0 0 20 May 2023
Multimodal Detection and Identification of Robot Manipulation Failures A. Inceoğlu E. Aksoy Sanem Sariel 25 2 0 08 May 2023
Interactive System-wise Anomaly Detection Guanchu Wang Ninghao Liu Daochen Zha Xia Hu AAML 17 1 0 21 Apr 2023
AI for IT Operations (AIOps) on Cloud Platforms: Reviews, Opportunities and Challenges Qian Cheng Doyen Sahoo Amrita Saha Wenjing Yang Chenghao Liu Gerald Woo Manpreet Singh Silvio Saverese S. Hoi 37 17 0 10 Apr 2023
MSS-PAE: Saving Autoencoder-based Outlier Detection from Unexpected Reconstruction Xu Tan Jiawei Yang Junqi Chen S. Rahardja S. Rahardja UQCV 22 1 0 03 Apr 2023
ISSTAD: Incremental Self-Supervised Learning Based on Transformer for Anomaly Detection and Localization WenPing Jin Fei-Yu Guo Li Zhu ViT MedIm 37 1 0 30 Mar 2023
One-Step Detection Paradigm for Hyperspectral Anomaly Detection via Spectral Deviation Relationship Learning Jingtao Li Xinyu Wang Shaoyu Wang Hengwei Zhao L. Zhang Yanfei Zhong 34 10 0 22 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
Cluster Purging: Efficient Outlier Detection based on Rate-Distortion Theory M. Toller Bernhard C. Geiger Roman Kern 14 3 0 22 Feb 2023
DTAAD: Dual Tcn-Attention Networks for Anomaly Detection in Multivariate Time Series Data Ling Yu AI4TS 28 27 0 17 Feb 2023
Towards Meaningful Anomaly Detection: The Effect of Counterfactual Explanations on the Investigation of Anomalies in Multivariate Time Series Max Schemmer Joshua Holstein Niklas Bauer Niklas Kühl G. Satzger 33 2 0 07 Feb 2023
Deep Reinforcement Learning for Online Error Detection in Cyber-Physical Systems Seyyedamirhossein Saeidi Forouzan Fallah Saeed Samieezafarghandi Hamed Farbeh OffRL 18 0 0 03 Feb 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
Resource-Interaction Graph: Efficient Graph Representation for Anomaly Detection James Pope Jinyuan Liang Vijay S. Kumar Francesco Raimondo Xinyi Sun ... Ioannis Mavromatis Adrián Sánchez-Mompó P. Carnelli Theodoros Spyridopoulos UK InnovationLaboratory 16 1 0 16 Dec 2022
Graph Learning for Anomaly Analytics: Algorithms, Applications, and Challenges Jing Ren Feng Xia Azadeh Noori Hoshyar Charu C. Aggarwal 42 26 0 11 Dec 2022
SPADE: Semi-supervised Anomaly Detection under Distribution Mismatch Jinsung Yoon Kihyuk Sohn Chun-Liang Li Sercan Ö. Arik Tomas Pfister 29 7 0 30 Nov 2022
MGFN: Magnitude-Contrastive Glance-and-Focus Network for Weakly-Supervised Video Anomaly Detection Y. Chen Zhengzhe Liu Baoheng Zhang W. Fok Xiaojuan Qi Yik-Chung Wu 10 109 0 28 Nov 2022
Privacy-Preserving Application-to-Application Authentication Using Dynamic Runtime Behaviors Mihai Christodorescu Maliheh Shirvanian Shams Zawoad 17 0 0 23 Nov 2022
Graph Anomaly Detection with Unsupervised GNNs Lingxiao Zhao Saurabh Sawlani Arvind Srinivasan L. Akoglu 39 17 0 18 Oct 2022
Semi-supervised detection of structural damage using Variational Autoencoder and a One-Class Support Vector Machine A. Pollastro Giusiana Testa A. Bilotta R. Prevete DRL 27 10 0 11 Oct 2022
Improved Anomaly Detection by Using the Attention-Based Isolation Forest Lev V. Utkin A. Ageev A. Konstantinov 41 6 0 05 Oct 2022
Explaining Anomalies using Denoising Autoencoders for Financial Tabular Data Timur Sattarov Dayananda Herurkar Jörn Hees 30 8 0 21 Sep 2022
RESHAPE: Explaining Accounting Anomalies in Financial Statement Audits by enhancing SHapley Additive exPlanations Ricardo Müller Marco Schreyer Timur Sattarov Damian Borth AAML MLAU 21 7 0 19 Sep 2022
Survey on Deep Fuzzy Systems in regression applications: a view on interpretability Jorge S. S. Júnior Jérôme Mendes F. Souza C. Premebida AI4CE 20 9 0 09 Sep 2022
Self-Calibrating Anomaly and Change Detection for Autonomous Inspection Robots Sahar Salimpour Jorge Peña Queralta Tomi Westerlund 37 10 0 26 Aug 2022
Enhancement to Training of Bidirectional GAN : An Approach to Demystify Tax Fraud P. Mehta Sandeep Kumar Ravi Kumar C. Babu 9 7 0 16 Aug 2022