Anomaly Detection

Anomaly Detection is a binary classification identifying unusual or unexpected patterns in a dataset, which deviate significantly from the majority of the data. The goal of anomaly detection is to identify such anomalies, which could represent errors, fraud, or other types of unusual events, and flag them for further investigation.

[Image source]: GAN-based Anomaly Detection in Imbalance Problems

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 1351–1375 of 4856 papers

Title	Date	Tasks	Status
A Neural Network-Based On-device Learning Anomaly Detector for Edge Devices	Jul 23, 2019	Anomaly DetectionCPU	—Unverified
Applied Machine Learning to Anomaly Detection in Enterprise Purchase Processes	May 23, 2024	Anomaly Detection	—Unverified
Applied Bayesian Structural Health Monitoring: inclinometer data anomaly detection and forecasting	Jul 1, 2023	Anomaly DetectionDecision Making	—Unverified
A neural-network based anomaly detection system and a safety protocol to protect vehicular network	Nov 11, 2024	Anomaly Detection	—Unverified
ADs: Active Data-sharing for Data Quality Assurance in Advanced Manufacturing Systems	Mar 31, 2024	Anomaly Detection	—Unverified
Synthetic Time Series for Anomaly Detection in Cloud Microservices	Jul 21, 2024	Anomaly DetectionCloud Computing	—Unverified
Design of a dynamic and self adapting system, supported with artificial intelligence, machine learning and real time intelligence for predictive cyber risk analytics in extreme environments, cyber risk in the colonisation of Mars	May 19, 2020	Anomaly DetectionBIG-bench Machine Learning	—Unverified
Detecting Anomalous Cryptocurrency Transactions: an AML/CFT Application of Machine Learning-based Forensics	Jun 7, 2022	Anomaly DetectionBIG-bench Machine Learning	—Unverified
Detecting subtle cyberattacks on adaptive cruise control vehicles: A machine learning approach	Oct 26, 2023	Anomaly DetectionGenerative Adversarial Network	—Unverified
Applications of Signature Methods to Market Anomaly Detection	Jan 7, 2022	Anomaly DetectionTime Series	—Unverified
Applications of Recurrent Neural Network for Biometric Authentication & Anomaly Detection	Sep 13, 2021	Anomaly Detectionspeech-recognition	—Unverified
A Neural Network Anomaly Detector Using the Random Cluster Model	Jan 28, 2015	Anomaly DetectionGeneral Classification	—Unverified
Applications of Machine Learning to the Identification of Anomalous ER Claims	Jun 16, 2022	Anomaly DetectionBIG-bench Machine Learning	—Unverified
Applications of Generative Adversarial Networks in Anomaly Detection: A Systematic Literature Review	Oct 22, 2021	Anomaly DetectionSystematic Literature Review	—Unverified
An Ensemble Approach toward Automated Variable Selection for Network Anomaly Detection	Oct 28, 2019	Anomaly DetectionVariable Selection	—Unverified
ADoPT: LiDAR Spoofing Attack Detection Based on Point-Level Temporal Consistency	Oct 23, 2023	Anomaly DetectionAutonomous Vehicles	—Unverified
Applications of Artificial Intelligence, Machine Learning and related techniques for Computer Networking Systems	Apr 21, 2021	Anomaly DetectionBIG-bench Machine Learning	—Unverified
Application of Unsupervised Domain Adaptation for Structural MRI Analysis	Dec 26, 2022	Anomaly DetectionBinary Classification	—Unverified
An Energy Efficient Health Monitoring Approach with Wireless Body Area Networks	Sep 27, 2021	Anomaly Detection	—Unverified
Application of MUSIC-type imaging for anomaly detection without background information	Jul 3, 2023	Anomaly Detection	—Unverified
Application of a Dynamic Line Graph Neural Network for Intrusion Detection With Semisupervised Learning	Dec 2, 2022	Anomaly DetectionGraph Neural Network	—Unverified
An Energy Consumption Model for Electrical Vehicle Networks via Extended Federated-learning	Nov 13, 2021	Anomaly DetectionFederated Learning	—Unverified
AD-NEv++ : The multi-architecture neuroevolution-based multivariate anomaly detection framework	Mar 25, 2024	Anomaly DetectionModel Optimization	—Unverified
Application of advanced machine learning algorithms for anomaly detection and quantitative prediction in protein A chromatography	Sep 5, 2022	Anomaly DetectionDimensionality Reduction	—Unverified
Application Of ADNN For Background Subtraction In Smart Surveillance System	Dec 31, 2022	Anomaly DetectionMotion Detection	—Unverified

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All datasets MVTec AD VisA MVTec LOCO AD One-class CIFAR-10 CUHK Avenue ShanghaiTech Fishyscapes L&F UCR Anomaly Archive MPDD BTAD One-class CIFAR-100 UBnormal

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	CPR-faster(TensorRT)	FPS	1,016	—	Unverified
2	CPR-fast(TensorRT)	FPS	362	—	Unverified
3	CPR(TensorRT)	FPS	130	—	Unverified
4	GLASS	Detection AUROC	99.9	—	Unverified
5	UniNet	Detection AUROC	99.9	—	Unverified
6	INP-Fomer ViT-L (model-unified multi-class)	Detection AUROC	99.8	—	Unverified
7	DDAD	Detection AUROC	99.8	—	Unverified
8	EfficientAD (early stopping)	Detection AUROC	99.8	—	Unverified
9	PBAS	Detection AUROC	99.8	—	Unverified
10	HETMM	Detection AUROC	99.8	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	UniNet	Detection AUROC	99.8	—	Unverified
2	GLAD	Detection AUROC	99.5	—	Unverified
3	UniNet(model-unified multi-class)	Detection AUROC	99.15	—	Unverified
4	DDAD	Detection AUROC	98.9	—	Unverified
5	Dinomaly ViT-L (model-unified multi-class)	Detection AUROC	98.9	—	Unverified
6	INP-Former ViT-B (model-unified multi-class)	Detection AUROC	98.9	—	Unverified
7	DiffusionAD	Detection AUROC	98.8	—	Unverified
8	GLASS	Detection AUROC	98.8	—	Unverified
9	TransFusion	Detection AUROC	98.7	—	Unverified
10	HETMM	Detection AUROC	98.1	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	CSAD	Avg. Detection AUROC	95.3	—	Unverified
2	PSAD	Avg. Detection AUROC	94.9	—	Unverified