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 4126–4150 of 4856 papers

Title	Date	Tasks	Status
TopoAct: Visually Exploring the Shape of Activations in Deep Learning	Dec 13, 2019	Anomaly DetectionDeep Learning	CodeCode Available
Changes to the extreme and erratic behaviour of cryptocurrencies during COVID-19	Dec 12, 2019	Anomaly DetectionTime Series	—Unverified
Enabling Machine Learning Across Heterogeneous Sensor Networks with Graph Autoencoders	Dec 12, 2019	Activity RecognitionAnomaly Detection	—Unverified
Event Detection in Micro-PMU Data: A Generative Adversarial Network Scoring Method	Dec 11, 2019	Anomaly DetectionEvent Detection	—Unverified
Peek Inside the Closed World: Evaluating Autoencoder-Based Detection of DDoS to Cloud	Dec 11, 2019	Anomaly Detectioncounterfactual	—Unverified
Oversampling Log Messages Using a Sequence Generative Adversarial Network for Anomaly Detection and Classification	Dec 9, 2019	Anomaly DetectionClassification	—Unverified
Deep Autoencoders with Value-at-Risk Thresholding for Unsupervised Anomaly Detection	Dec 9, 2019	Anomaly DetectionIncremental Learning	—Unverified
PIDForest: Anomaly Detection via Partial Identification	Dec 8, 2019	Anomaly DetectionAttribute	CodeCode Available
SaLite : A light-weight model for salient object detection	Dec 8, 2019	Anomaly DetectionDecoder	CodeCode Available
Transfer Learning from an Auxiliary Discriminative Task for Unsupervised Anomaly Detection	Dec 5, 2019	Anomaly DetectionFeature Engineering	—Unverified
ADEPOS: A Novel Approximate Computing Framework for Anomaly Detection Systems and its Implementation in 65nm CMOS	Dec 4, 2019	Anomaly DetectionEdge-computing	—Unverified
Copula-based anomaly scoring and localization for large-scale, high-dimensional continuous data	Dec 4, 2019	Anomaly DetectionMissing Values	—Unverified
Semi-Supervised Learning of Bearing Anomaly Detection via Deep Variational Autoencoders	Dec 2, 2019	Anomaly DetectionFault Diagnosis	—Unverified
GeoTrackNet-A Maritime Anomaly Detector using Probabilistic Neural Network Representation of AIS Tracks and A Contrario Detection	Dec 2, 2019	Anomaly Detection	CodeCode Available
Anomaly Detection in Particulate Matter Sensor using Hypothesis Pruning Generative Adversarial Network	Dec 2, 2019	Anomaly DetectionGenerative Adversarial Network	—Unverified
An Attribute Oriented Induction based Methodology for Data Driven Predictive Maintenance	Dec 2, 2019	Anomaly DetectionAttribute	—Unverified
Learning Representations for Time Series Clustering	Dec 1, 2019	Anomaly DetectionClustering	CodeCode Available
ACE -- An Anomaly Contribution Explainer for Cyber-Security Applications	Dec 1, 2019	Anomaly Detection	—Unverified
Transfer Anomaly Detection by Inferring Latent Domain Representations	Dec 1, 2019	Anomaly Detection	—Unverified
XGBOD: Improving Supervised Outlier Detection with Unsupervised Representation Learning	Dec 1, 2019	Anomaly DetectionOutlier Detection	CodeCode Available
Free-riders in Federated Learning: Attacks and Defenses	Nov 28, 2019	Anomaly DetectionFederated Learning	—Unverified
Sparse-GAN: Sparsity-constrained Generative Adversarial Network for Anomaly Detection in Retinal OCT Image	Nov 28, 2019	Anomaly DetectionDeep Learning	—Unverified
A Case for the Score: Identifying Image Anomalies using Variational Autoencoder Gradients	Nov 28, 2019	Anomaly Detection	—Unverified
High- and Low-level image component decomposition using VAEs for improved reconstruction and anomaly detection	Nov 27, 2019	Anomaly DetectionOut of Distribution (OOD) Detection	—Unverified
Host-based anomaly detection using Eigentraces feature extraction and one-class classification on system call trace data	Nov 25, 2019	Anomaly DetectionIntrusion 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