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Deep Learning for Anomaly Detection: A Survey

Deep Learning for Anomaly Detection: A Survey

10 January 2019
Raghavendra Chalapathy
Sanjay Chawla
    AI4TS
ArXivPDFHTML

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

50 / 59 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
29
0
0
02 Mar 2025
Machine Learning-based vs Deep Learning-based Anomaly Detection in
  Multivariate Time Series for Spacecraft Attitude Sensors
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
11
0
0
26 Sep 2024
Using Deep Convolutional Neural Networks to Detect Rendered Glitches in
  Video Games
Using Deep Convolutional Neural Networks to Detect Rendered Glitches in Video Games
Carlos Garcia Ling
Konrad Tollmar
Linus Gisslén
19
18
0
12 Jun 2024
Anomaly Detection in Dynamic Graphs: A Comprehensive Survey
Anomaly Detection in Dynamic Graphs: A Comprehensive Survey
Ocheme Anthony Ekle
William Eberle
AI4TS
16
10
0
31 May 2024
CANEDERLI: On The Impact of Adversarial Training and Transferability on
  CAN Intrusion Detection Systems
CANEDERLI: On The Impact of Adversarial Training and Transferability on CAN Intrusion Detection Systems
Francesco Marchiori
Mauro Conti
AAML
21
0
0
06 Apr 2024
Long-Tailed Anomaly Detection with Learnable Class Names
Long-Tailed Anomaly Detection with Learnable Class Names
Chih-Hui Ho
Kuan-Chuan Peng
Nuno Vasconcelos
OODD
33
6
0
29 Mar 2024
Label-Free Multivariate Time Series Anomaly Detection
Label-Free Multivariate Time Series Anomaly Detection
Qihang Zhou
Shibo He
Haoyu Liu
Jiming Chen
Wenchao Meng
AI4TS
10
10
0
17 Dec 2023
MST-GAT: A Multimodal Spatial-Temporal Graph Attention Network for Time
  Series Anomaly Detection
MST-GAT: A Multimodal Spatial-Temporal Graph Attention Network for Time Series Anomaly Detection
Chaoyue Ding
Shiliang Sun
Jing Zhao
AI4TS
19
139
0
17 Oct 2023
Benchmarks for Detecting Measurement Tampering
Benchmarks for Detecting Measurement Tampering
Fabien Roger
Ryan Greenblatt
Max Nadeau
Buck Shlegeris
Nate Thomas
19
2
0
29 Aug 2023
Anomaly Detection in Automated Fibre Placement: Learning with Data
  Limitations
Anomaly Detection in Automated Fibre Placement: Learning with Data Limitations
Assef Ghamisi
Todd Charter
Li Ji
M. Rivard
G. Lund
H. Najjaran
12
7
0
15 Jul 2023
Contextual Affinity Distillation for Image Anomaly Detection
Contextual Affinity Distillation for Image Anomaly Detection
Jie M. Zhang
Masanori Suganuma
Takayuki Okatani
16
14
0
06 Jul 2023
Naeural AI OS -- Decentralized ubiquitous computing MLOps execution engine
Naeural AI OS -- Decentralized ubiquitous computing MLOps execution engine
Beatrice Milik
S. Saraev
Cristian Bleotiu
Radu Lupaescu
11
0
0
14 Jun 2023
Technical outlier detection via convolutional variational autoencoder
  for the ADMANI breast mammogram dataset
Technical outlier detection via convolutional variational autoencoder for the ADMANI breast mammogram dataset
Hui Li
C. Peña-Solórzano
Susan Wei
Davis J. McCarthy
16
0
0
20 May 2023
Multimodal Detection and Identification of Robot Manipulation Failures
Multimodal Detection and Identification of Robot Manipulation Failures
A. Inceoğlu
E. Aksoy
Sanem Sariel
10
2
0
08 May 2023
Interactive System-wise Anomaly Detection
Interactive System-wise Anomaly Detection
Guanchu Wang
Ninghao Liu
Daochen Zha
Xia Hu
AAML
6
1
0
21 Apr 2023
AI for IT Operations (AIOps) on Cloud Platforms: Reviews, Opportunities
  and Challenges
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
19
17
0
10 Apr 2023
ISSTAD: Incremental Self-Supervised Learning Based on Transformer for
  Anomaly Detection and Localization
ISSTAD: Incremental Self-Supervised Learning Based on Transformer for Anomaly Detection and Localization
WenPing Jin
Fei-Yu Guo
Li Zhu
ViT
MedIm
12
1
0
30 Mar 2023
One-Step Detection Paradigm for Hyperspectral Anomaly Detection via
  Spectral Deviation Relationship Learning
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
11
10
0
22 Mar 2023
Spacecraft Anomaly Detection with Attention Temporal Convolution Network
Spacecraft Anomaly Detection with Attention Temporal Convolution Network
Liang Liu
L. Tian
Zhao Kang
Tianqi Wan
AI4TS
17
27
0
13 Mar 2023
Cluster Purging: Efficient Outlier Detection based on Rate-Distortion
  Theory
Cluster Purging: Efficient Outlier Detection based on Rate-Distortion Theory
M. Toller
Bernhard C. Geiger
Roman Kern
9
3
0
22 Feb 2023
DTAAD: Dual Tcn-Attention Networks for Anomaly Detection in Multivariate
  Time Series Data
DTAAD: Dual Tcn-Attention Networks for Anomaly Detection in Multivariate Time Series Data
Ling Yu
AI4TS
13
26
0
17 Feb 2023
Deep Reinforcement Learning for Online Error Detection in Cyber-Physical Systems
Seyyedamirhossein Saeidi
Forouzan Fallah
Saeed Samieezafarghandi
Hamed Farbeh
OffRL
6
0
0
03 Feb 2023
SPADE: Semi-supervised Anomaly Detection under Distribution Mismatch
SPADE: Semi-supervised Anomaly Detection under Distribution Mismatch
Jinsung Yoon
Kihyuk Sohn
Chun-Liang Li
Sercan Ö. Arik
Tomas Pfister
6
7
0
30 Nov 2022
MGFN: Magnitude-Contrastive Glance-and-Focus Network for
  Weakly-Supervised Video Anomaly Detection
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
8
108
0
28 Nov 2022
Graph Anomaly Detection with Unsupervised GNNs
Graph Anomaly Detection with Unsupervised GNNs
Lingxiao Zhao
Saurabh Sawlani
Arvind Srinivasan
L. Akoglu
16
17
0
18 Oct 2022
Survey on Deep Fuzzy Systems in regression applications: a view on
  interpretability
Survey on Deep Fuzzy Systems in regression applications: a view on interpretability
Jorge S. S. Júnior
Jérôme Mendes
F. Souza
C. Premebida
AI4CE
11
9
0
09 Sep 2022
Detecting Multivariate Time Series Anomalies with Zero Known Label
Detecting Multivariate Time Series Anomalies with Zero Known Label
Qihang Zhou
Jiming Chen
Haoyu Liu
Shibo He
Wenchao Meng
AI4TS
17
22
0
03 Aug 2022
Scrutinizing Shipment Records To Thwart Illegal Timber Trade
Scrutinizing Shipment Records To Thwart Illegal Timber Trade
Debanjan Datta
S. Muthiah
J. Simeone
A. Meadows
Naren Ramakrishnan
14
1
0
31 Jul 2022
Anomaly Detection with Adversarially Learned Perturbations of Latent
  Space
Anomaly Detection with Adversarially Learned Perturbations of Latent Space
Vahid Reza Khazaie
A. Wong
John Taylor Jewell
Y. Mohsenzadeh
AAML
15
3
0
03 Jul 2022
Multivariate Time Series Anomaly Detection with Few Positive Samples
Multivariate Time Series Anomaly Detection with Few Positive Samples
Feng Xue
Weizhong Yan
AI4TS
11
3
0
02 Jul 2022
Diminishing Empirical Risk Minimization for Unsupervised Anomaly
  Detection
Diminishing Empirical Risk Minimization for Unsupervised Anomaly Detection
Shaoshen Wang
Yanbin Liu
Ling Chen
Chengqi Zhang
12
0
0
29 May 2022
MAD: Self-Supervised Masked Anomaly Detection Task for Multivariate Time
  Series
MAD: Self-Supervised Masked Anomaly Detection Task for Multivariate Time Series
Yiwei Fu
Feng Xue
AI4TS
8
15
0
04 May 2022
Learning to Adapt to Domain Shifts with Few-shot Samples in Anomalous
  Sound Detection
Learning to Adapt to Domain Shifts with Few-shot Samples in Anomalous Sound Detection
Bingqing Chen
Luca Bondi
Samarjit Das
44
7
0
05 Apr 2022
Generative Cooperative Learning for Unsupervised Video Anomaly Detection
Generative Cooperative Learning for Unsupervised Video Anomaly Detection
M. Zaheer
Arif Mahmood
M. H. Khan
Mattia Segu
F. I. F. Richard Yu
Seung-Ik Lee
AI4TS
11
128
0
08 Mar 2022
Bayesian autoencoders with uncertainty quantification: Towards
  trustworthy anomaly detection
Bayesian autoencoders with uncertainty quantification: Towards trustworthy anomaly detection
Bang Xiang Yong
Alexandra Brintrup
UQCV
8
24
0
25 Feb 2022
Training OOD Detectors in their Natural Habitats
Training OOD Detectors in their Natural Habitats
Julian Katz-Samuels
Julia B. Nakhleh
Robert D. Nowak
Yixuan Li
OODD
16
88
0
07 Feb 2022
An Attention-based ConvLSTM Autoencoder with Dynamic Thresholding for
  Unsupervised Anomaly Detection in Multivariate Time Series
An Attention-based ConvLSTM Autoencoder with Dynamic Thresholding for Unsupervised Anomaly Detection in Multivariate Time Series
Tareq Tayeh
Sulaiman A. Aburakhia
Ryan Myers
Abdallah Shami
AI4TS
31
33
0
23 Jan 2022
Black-box Error Diagnosis in Deep Neural Networks for Computer Vision: a
  Survey of Tools
Black-box Error Diagnosis in Deep Neural Networks for Computer Vision: a Survey of Tools
Piero Fraternali
Federico Milani
Rocio Nahime Torres
Niccolò Zangrando
AAML
17
9
0
17 Jan 2022
Anomaly Rule Detection in Sequence Data
Anomaly Rule Detection in Sequence Data
Wensheng Gan
Lili Chen
Shicheng Wan
Jiahui Chen
Chien-Ming Chen
AI4TS
23
19
0
29 Nov 2021
Evaluation of an Anomaly Detector for Routers using Parameterizable
  Malware in an IoT Ecosystem
Evaluation of an Anomaly Detector for Routers using Parameterizable Malware in an IoT Ecosystem
John Carter
Spiros Mancoridis
20
1
0
29 Oct 2021
CloudFindr: A Deep Learning Cloud Artifact Masker for Satellite DEM Data
CloudFindr: A Deep Learning Cloud Artifact Masker for Satellite DEM Data
Kalina Borkiewicz
Viraj Shah
J. Naiman
Chuanyue Shen
Stuart Levy
Jeff Carpenter
3DPC
8
2
0
26 Oct 2021
Pediatric Otoscopy Video Screening with Shift Contrastive Anomaly
  Detection
Pediatric Otoscopy Video Screening with Shift Contrastive Anomaly Detection
Weiyao Wang
Aniruddha Tamhane
Christine Santos
J. Rzasa
James H Clark
Therese L. Canares
Mathias Unberath
17
4
0
25 Oct 2021
Trustworthy AI: From Principles to Practices
Trustworthy AI: From Principles to Practices
Bo-wen Li
Peng Qi
Bo Liu
Shuai Di
Jingen Liu
Jiquan Pei
Jinfeng Yi
Bowen Zhou
102
349
0
04 Oct 2021
Adaptive Anomaly Detection for Internet of Things in Hierarchical Edge
  Computing: A Contextual-Bandit Approach
Adaptive Anomaly Detection for Internet of Things in Hierarchical Edge Computing: A Contextual-Bandit Approach
Mao V. Ngo
Tie-Mei Luo
Tony Q. S. Quek
14
14
0
09 Aug 2021
Conformal Anomaly Detection on Spatio-Temporal Observations with Missing
  Data
Conformal Anomaly Detection on Spatio-Temporal Observations with Missing Data
Chen Xu
Yao Xie
16
20
0
25 May 2021
Adjusting for Autocorrelated Errors in Neural Networks for Time Series
Adjusting for Autocorrelated Errors in Neural Networks for Time Series
Fan-Keng Sun
C. Lang
Duane S. Boning
OOD
AI4TS
22
28
0
28 Jan 2021
Detect, Reject, Correct: Crossmodal Compensation of Corrupted Sensors
Detect, Reject, Correct: Crossmodal Compensation of Corrupted Sensors
Michelle A. Lee
Matthew Tan
Yuke Zhu
Jeannette Bohg
30
25
0
01 Dec 2020
Online Safety Assurance for Deep Reinforcement Learning
Online Safety Assurance for Deep Reinforcement Learning
Noga H. Rotman
Michael Schapira
Aviv Tamar
OffRL
25
5
0
07 Oct 2020
Unsupervised anomaly detection for discrete sequence healthcare data
Unsupervised anomaly detection for discrete sequence healthcare data
Victoria Snorovikhina
Alexey Zaytsev
OOD
AI4TS
11
7
0
20 Jul 2020
ID-Conditioned Auto-Encoder for Unsupervised Anomaly Detection
ID-Conditioned Auto-Encoder for Unsupervised Anomaly Detection
Slawomir Kapka
CML
24
29
0
10 Jul 2020
12
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