SOTAVerified

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

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Showing 1101–1150 of 4856 papers

TitleStatusHype
Attentioned Convolutional LSTM InpaintingNetwork for Anomaly Detection in Videos—0
AERF: Adaptive ensemble random fuzzy algorithm for anomaly detection in cloud computing—0
Active Learning-based Isolation Forest (ALIF): Enhancing Anomaly Detection in Decision Support Systems—0
Attention Boosted Autoencoder for Building Energy Anomaly Detection—0
Attention-Based Self-Supervised Feature Learning for Security Data—0
Anomaly detection and motif discovery in symbolic representations of time series—0
Attention and Autoencoder Hybrid Model for Unsupervised Online Anomaly Detection—0
Anomaly Detection and Modeling in 802.11 Wireless Networks—0
Anomaly Detection for Non-stationary Time Series using Recurrent Wavelet Probabilistic Neural Network—0
AnomalySD: Few-Shot Multi-Class Anomaly Detection with Stable Diffusion Model—0
Anomaly Detection and Localization in Crowded Scenes by Motion-field Shape Description and Similarity-based Statistical Learning—0
Attack Rules: An Adversarial Approach to Generate Attacks for Industrial Control Systems using Machine Learning—0
Anomaly Detection and Localization for Speech Deepfakes via Feature Pyramid Matching—0
AttackLLM: LLM-based Attack Pattern Generation for an Industrial Control System—0
Attacking Face Recognition with T-shirts: Database, Vulnerability Assessment and Detection—0
Convolutional Transformer based Dual Discriminator Generative Adversarial Networks for Video Anomaly Detection—0
Attack and Anomaly Detection in IoT Sensors in IoT Sites Using Machine Learning Approaches—0
Anomaly Detection and Localization based on Double Kernelized Scoring and Matrix Kernels—0
AEGR: A simple approach to gradient reversal in autoencoders for network anomaly detection—0
Attack-Agnostic Adversarial Detection—0
A Transfer Learning Framework for Anomaly Detection in Multivariate IoT Traffic Data—0
Anomaly Detection and Localisation using Mixed Graphical Models—0
Active Anomaly Detection with Switching Cost—0
A Transfer Learning Framework for Anomaly Detection Using Model of Normality—0
Atom dimension adaptation for infinite set dictionary learning—0
Anomaly Detection and Inter-Sensor Transfer Learning on Smart Manufacturing Datasets—0
A Time Series Multitask Framework Integrating a Large Language Model, Pre-Trained Time Series Model, and Knowledge Graph—0
Anomaly Detection and Interpretation using Multimodal Autoencoder and Sparse Optimization—0
Adversarial vs behavioural-based defensive AI with joint, continual and active learning: automated evaluation of robustness to deception, poisoning and concept drift—0
Abnormal Client Behavior Detection in Federated Learning—0
A Theoretical Investigation of Graph Degree as an Unsupervised Normality Measure—0
A Theoretical Framework for AI-driven data quality monitoring in high-volume data environments—0
Anomaly Detection and Inlet Pressure Prediction in Water Distribution Systems Using Machine Learning—0
A Temporal Anomaly Detection System for Vehicles utilizing Functional Working Groups and Sensor Channels—0
Anomaly Detection and Improvement of Clusters using Enhanced K-Means Algorithm—0
Adversarial Sample Generation for Anomaly Detection in Industrial Control Systems—0
Convolutional Recurrent Reconstructive Network for Spatiotemporal Anomaly Detection in Solder Paste Inspection—0
cOOpD: Reformulating COPD classification on chest CT scans as anomaly detection using contrastive representations—0
Copula-based anomaly scoring and localization for large-scale, high-dimensional continuous data—0
Correlated Attention in Transformers for Multivariate Time Series—0
Cross Attention Transformers for Multi-modal Unsupervised Whole-Body PET Anomaly Detection—0
A Taxonomy of Anomalies in Log Data—0
Anomaly Detection And Classification In Time Series With Kervolutional Neural Networks—0
Adversarial Pseudo Healthy Synthesis Needs Pathology Factorization—0
A task of anomaly detection for a smart satellite Internet of things system—0
A Tale of Two Latent Flows: Learning Latent Space Normalizing Flow with Short-run Langevin Flow for Approximate Inference—0
Anomaly Detection and Classification in Knowledge Graphs—0
Adversarial Machine Learning Threat Analysis and Remediation in Open Radio Access Network (O-RAN)—0
ATAC-Net: Zoomed view works better for Anomaly Detection—0
A Systematic Review of Machine Learning in Sports Betting: Techniques, Challenges, and Future Directions—0
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All datasetsMVTec ADVisAMVTec LOCO ADOne-class CIFAR-10CUHK AvenueShanghaiTechFishyscapes L&FUCR Anomaly ArchiveMPDDBTADOne-class CIFAR-100UBnormal

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CPR-faster(TensorRT)FPS1,016—Unverified
2CPR-fast(TensorRT)FPS362—Unverified
3CPR(TensorRT)FPS130—Unverified
4GLASSDetection AUROC99.9—Unverified
5UniNetDetection AUROC99.9—Unverified
6INP-Fomer ViT-L (model-unified multi-class)Detection AUROC99.8—Unverified
7DDADDetection AUROC99.8—Unverified
8EfficientAD (early stopping)Detection AUROC99.8—Unverified
9PBASDetection AUROC99.8—Unverified
10HETMMDetection AUROC99.8—Unverified
#ModelMetricClaimedVerifiedStatus
1UniNetDetection AUROC99.8—Unverified
2GLADDetection AUROC99.5—Unverified
3UniNet(model-unified multi-class)Detection AUROC99.15—Unverified
4DDADDetection AUROC98.9—Unverified
5Dinomaly ViT-L (model-unified multi-class)Detection AUROC98.9—Unverified
6INP-Former ViT-B (model-unified multi-class)Detection AUROC98.9—Unverified
7DiffusionADDetection AUROC98.8—Unverified
8GLASSDetection AUROC98.8—Unverified
9TransFusionDetection AUROC98.7—Unverified
10HETMMDetection AUROC98.1—Unverified
#ModelMetricClaimedVerifiedStatus
1CSADAvg. Detection AUROC95.3—Unverified
2PSADAvg. Detection AUROC94.9—Unverified