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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 / 148 papers shown
Title
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
32
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
31
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
14
3
0
02 Jul 2022
Robustness Evaluation of Deep Unsupervised Learning Algorithms for
  Intrusion Detection Systems
Robustness Evaluation of Deep Unsupervised Learning Algorithms for Intrusion Detection Systems
D'Jeff K. Nkashama
Ariana Soltani
Jean-Charles Verdier
Marc Frappier
Pierre-Marting Tardif
F. Kabanza
OOD
AAML
26
5
0
25 Jun 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
19
0
0
29 May 2022
PIXAL: Anomaly Reasoning with Visual Analytics
PIXAL: Anomaly Reasoning with Visual Analytics
Brian Montambault
C. Brumar
M. Behrisch
Remco Chang
18
2
0
23 May 2022
PAC-Wrap: Semi-Supervised PAC Anomaly Detection
PAC-Wrap: Semi-Supervised PAC Anomaly Detection
Shuo Li
Xiayan Ji
Yan Sun
O. Sokolsky
Insup Lee
25
14
0
22 May 2022
Anomaly Detection for Multivariate Time Series on Large-scale Fluid
  Handling Plant Using Two-stage Autoencoder
Anomaly Detection for Multivariate Time Series on Large-scale Fluid Handling Plant Using Two-stage Autoencoder
S. Naito
Yasunori Taguchi
Kouta Nakata
Yuichi Kato
AI4TS
9
5
0
20 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
26
15
0
04 May 2022
A review of Federated Learning in Intrusion Detection Systems for IoT
A review of Federated Learning in Intrusion Detection Systems for IoT
Aitor Belenguer
J. Navaridas
J. A. Pascual
25
15
0
26 Apr 2022
Discriminative Feature Learning Framework with Gradient Preference for
  Anomaly Detection
Discriminative Feature Learning Framework with Gradient Preference for Anomaly Detection
Muhao Xu
Xueying Zhou
Xizhan Gao
Wei-Xiong He
Sijie Niu
24
7
0
23 Apr 2022
Multi-scale Anomaly Detection for Big Time Series of Industrial Sensors
Multi-scale Anomaly Detection for Big Time Series of Industrial Sensors
Quan-Xin Ding
Shenghua Liu
Bin Zhou
Huawei Shen
Xueqi Cheng
AI4TS
AI4CE
14
1
0
18 Apr 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
62
7
0
05 Apr 2022
Proactive Anomaly Detection for Robot Navigation with Multi-Sensor
  Fusion
Proactive Anomaly Detection for Robot Navigation with Multi-Sensor Fusion
Tianchen Ji
A. N. Sivakumar
Girish Chowdhary
Katherine Driggs-Campbell
AAML
22
49
0
03 Apr 2022
Multiple Inputs Neural Networks for Medicare fraud Detection
Multiple Inputs Neural Networks for Medicare fraud Detection
M. Z. A. Mayaki
M. Riveill
OOD
6
6
0
11 Mar 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
27
130
0
08 Mar 2022
Regional-Local Adversarially Learned One-Class Classifier Anomalous
  Sound Detection in Global Long-Term Space
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
Statistics and Deep Learning-based Hybrid Model for Interpretable
  Anomaly Detection
Statistics and Deep Learning-based Hybrid Model for Interpretable Anomaly Detection
Thabang Mathonsi
Terence L van Zyl
35
0
0
25 Feb 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
28
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
24
90
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
44
33
0
23 Jan 2022
TranAD: Deep Transformer Networks for Anomaly Detection in Multivariate
  Time Series Data
TranAD: Deep Transformer Networks for Anomaly Detection in Multivariate Time Series Data
Shreshth Tuli
G. Casale
N. Jennings
AI4TS
26
471
0
18 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
33
9
0
17 Jan 2022
Error-bounded Approximate Time Series Joins Using Compact Dictionary
  Representations of Time Series
Error-bounded Approximate Time Series Joins Using Compact Dictionary Representations of Time Series
Chin-Chia Michael Yeh
Yan Zheng
Junpeng Wang
Huiyuan Chen
Zhongfang Zhuang
Wei Zhang
Eamonn Keogh
AI4TS
11
12
0
24 Dec 2021
Utilizing XAI technique to improve autoencoder based model for computer
  network anomaly detection with shapley additive explanation(SHAP)
Utilizing XAI technique to improve autoencoder based model for computer network anomaly detection with shapley additive explanation(SHAP)
Khushnaseeb Roshan
Aasim Zafar
AAML
14
50
0
14 Dec 2021
Error-Aware Imitation Learning from Teleoperation Data for Mobile
  Manipulation
Error-Aware Imitation Learning from Teleoperation Data for Mobile Manipulation
J. Wong
Albert Tung
Andrey Kurenkov
Ajay Mandlekar
Li Fei-Fei
Silvio Savarese
Roberto Martín-Martín
26
54
0
09 Dec 2021
Anomaly Rule Detection in Sequence Data
Anomaly Rule Detection in Sequence Data
Wensheng Gan
Lili Chen
Shicheng Wan
Jiahui Chen
Chien-Ming Chen
AI4TS
27
19
0
29 Nov 2021
Data Invariants to Understand Unsupervised Out-of-Distribution Detection
Data Invariants to Understand Unsupervised Out-of-Distribution Detection
Lars Doorenbos
Raphael Sznitman
Pablo Márquez-Neila
OODD
27
6
0
26 Nov 2021
Constrained Deep One-Class Feature Learning For Classifying Imbalanced
  Medical Images
Constrained Deep One-Class Feature Learning For Classifying Imbalanced Medical Images
Long Gao
Chang Liu
Dooman Arefan
A. Panigrahy
Shandong Wu
18
2
0
20 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
30
1
0
29 Oct 2021
Normality-Calibrated Autoencoder for Unsupervised Anomaly Detection on
  Data Contamination
Normality-Calibrated Autoencoder for Unsupervised Anomaly Detection on Data Contamination
Jongmin Yu
Hyeontaek Oh
Minkyung Kim
Junsik Kim
22
10
0
28 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
19
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
32
4
0
25 Oct 2021
Generalized Out-of-Distribution Detection: A Survey
Generalized Out-of-Distribution Detection: A Survey
Jingkang Yang
Kaiyang Zhou
Yixuan Li
Ziwei Liu
185
879
0
21 Oct 2021
Anomaly Detection in Beehives: An Algorithm Comparison
Anomaly Detection in Beehives: An Algorithm Comparison
Padraig Davidson
M. Steininger
Florian Lautenschlager
Anna Krause
Andreas Hotho
24
5
0
08 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
119
355
0
04 Oct 2021
Deep Learning-based Action Detection in Untrimmed Videos: A Survey
Deep Learning-based Action Detection in Untrimmed Videos: A Survey
Elahe Vahdani
Yingli Tian
46
60
0
30 Sep 2021
Y-GAN: Learning Dual Data Representations for Efficient Anomaly
  Detection
Y-GAN: Learning Dual Data Representations for Efficient Anomaly Detection
Marija Ivanovska
Vitomir Štruc
20
2
0
28 Sep 2021
PETGEN: Personalized Text Generation Attack on Deep Sequence
  Embedding-based Classification Models
PETGEN: Personalized Text Generation Attack on Deep Sequence Embedding-based Classification Models
Bing He
M. Ahamad
Srijan Kumar
SILM
AAML
118
26
0
14 Sep 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
22
14
0
09 Aug 2021
Unsupervised Deep Anomaly Detection for Multi-Sensor Time-Series Signals
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
Time Series Anomaly Detection for Smart Grids: A Survey
Time Series Anomaly Detection for Smart Grids: A Survey
J. Zhang
Di Wu
Benoit Boulet
AI4TS
14
43
0
16 Jul 2021
Anomaly Detection in Smart Manufacturing with an Application Focus on
  Robotic Finishing Systems: A Review
Anomaly Detection in Smart Manufacturing with an Application Focus on Robotic Finishing Systems: A Review
Tareq Tayeh
Abdallah Shami
24
0
0
11 Jul 2021
A Dynamic Spatial-temporal Attention Network for Early Anticipation of
  Traffic Accidents
A Dynamic Spatial-temporal Attention Network for Early Anticipation of Traffic Accidents
Muhammad Monjurul Karim
Yu Li
Ruwen Qin
Zhaozheng Yin
19
55
0
18 Jun 2021
Time Series Anomaly Detection for Cyber-Physical Systems via Neural
  System Identification and Bayesian Filtering
Time Series Anomaly Detection for Cyber-Physical Systems via Neural System Identification and Bayesian Filtering
Cheng Feng
Pengwei Tian
AI4TS
14
75
0
15 Jun 2021
A Comprehensive Survey on Graph Anomaly Detection with Deep Learning
A Comprehensive Survey on Graph Anomaly Detection with Deep Learning
Xiaoxiao Ma
Jia Wu
Shan Xue
Jian Yang
Chuan Zhou
Quan Z. Sheng
Hui Xiong
Leman Akoglu
GNN
AI4TS
43
538
0
14 Jun 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
26
20
0
25 May 2021
Extending Isolation Forest for Anomaly Detection in Big Data via K-Means
Extending Isolation Forest for Anomaly Detection in Big Data via K-Means
Md Tahmid Rahman Laskar
J. Huang
Vladan Smetana
Chris Stewart
Kees Pouw
Aijun An
Steve Chan
Lei Liu
33
42
0
27 Apr 2021
Autoencoders for unsupervised anomaly detection in high energy physics
Autoencoders for unsupervised anomaly detection in high energy physics
Thorben Finke
Michael Krämer
A. Morandini
A. Mück
I. Oleksiyuk
21
83
0
19 Apr 2021
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