Unsupervised Anomaly Detection

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31 papers in the last four weeks, up 82% on the four weeks before. 0.2% of all new papers.

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  1. Catching magnetic resonance imaging outliers in artificial intelligence-supported radiotherapy workflows: unsupervised detection and localization of image anomalies using deep learning

    May 23, 2026Mustafa Kadhim, Viktor Rogowski, Emilia Persson +7Medical Image Anomaly DetectionAnomaly Localization

    Medical Radiation Physics, Lund University, Lund, Sweden. · Radiation Physics, Department of Hematology, Oncology, and Radiation Physics, Skåne University Hospital, Lund, Sweden. · Medical Radiation Physics, Department of Translational Medicine, Lund University, Malmö, Sweden +4

  2. Dual Prototype-Conditioned Diffusion Model for Scalable Multi-Class Unsupervised Anomaly Detection in Large Category Spaces

    May 23, 2026Yaoxuan Feng, Yuxin Li, Weijiang Lv +5Prototype LearningIndustrial Anomaly Detection

    National Key Laboratory of Radar Signal Processing, Xidian University, Xi’an, 710071, China.

  3. Contrast to Detect: Dynamic Graph Contrastive Regularization for Unsupervised Anomaly Detection in Multivariate Time Series

    May 22, 2026Yunhua Pei, Zixing Song, Jin Zheng +1Dynamic Graph LearningUnsupervised Anomaly Detection

    School of Computer Science, University of Bristol, Bristol, UK · School of Engineering Mathematics, University of Bristol, Bristol, UK

  4. VACE: Learning Geometrically Structured Representations for Time Series Anomaly Detection

    May 22, 2026Alberto D. Cencillo, Leonardo Concepción, Isaac Triguero +1Self-Supervised Time Series Representation LearningGeometric Representation Learning

    1Andalusian Research Institute in Data Science and Computational Intelligence (DaSCI) · Department of Computer Science and Artificial Intelligence (DECSAI), University of Granada, Granada, 18071, Spain

  5. Flow Mismatching: Unsupervised Anomaly Detection via Velocity Discrepancies in Flow Matching Models

    May 21, 2026Shengzhe Chen, Mehrdad Moradi, Kamran Paynabar +1Flow MatchingIndustrial Anomaly Detection

    1Arizona State University · 2Georgia Institute of Technology

  6. UNAD+: An Explainable Hybrid Framework for Unknown Network Attack Detection

    May 21, 2026Saif Alzubi, Frederic StahlNetwork Intrusion DetectionUnsupervised Anomaly Detection

    Department of Computer Science, University of Exeter, Exeter, UK · German Research Center for Artificial Intelligence GmbH (DFKI), Marine Perception, Marie-Curie-Straße 1, 26129 Oldenburg, Germany

  7. SilIF: Silhouette-Augmented Isolation Forest for Unsupervised Transaction Fraud Detection

    May 21, 2026Venkatakrishnan GopalakrishnanTabular Anomaly DetectionIsolation Forest

    Independent Researcher Redmond, WA, USA

  8. CAMERA: Adapting to Semantic Camouflage in Unsupervised Text-Attributed Graph Fraud Detection

    May 19, 2026Junjun Pan, Yixin Liu, Yu Zheng +3Text-Attributed Graph LearningUnsupervised Anomaly Detection

    School of Information and Communication Technology, Griffith University, Australia · Department of Computer Science and Information Technology, La Trobe University, Australia

  9. Automatic Unsupervised Ensemble Outlier Model Selection--Extended Version

    May 15, 2026Hong-Phuc Phan, Tuan-Anh Vu, Tung Kieu +3Model SelectionUnsupervised Learning

    Department of Software Engineering, FPT University, Vietnam · Department of Information Technology, Can Tho University of Technology, Vietnam · Department of Computer Science, Aalborg University, Denmark +2

  10. Unsupervised Domain Shift Detection with Interpretable Subspace Attribution

    May 15, 2026Sebastian Springer, Alessandro LaioFeature AttributionDistribution Shift

    SISSA

  11. From Data to Action: Accelerating Refinery Optimization with AI

    May 14, 2026Dániel Pfeifer, Ábrahám Papp, Tibor Bernáth +4Industrial Anomaly DetectionUnsupervised Anomaly Detection

    aBudapest University of Technology and Economics, Műegyetem rkp. 3., Budapest, 1111, Hungary · bMOL Group, Dombóvári út 28., Budapest, 1117, Hungary

  12. When Normality Shifts: Risk-Aware Test-Time Adaptation for Unsupervised Tabular Anomaly Detection

    May 11, 2026Wei Huang, Hezhe Qiao, Kailai Zhang +3Test-Time AdaptationTabular Anomaly Detection

  13. Learning Unified Representations of Normalcy for Time Series Anomaly Detection

    May 10, 2026Prithul Sarker, Sushmita Sarker, Nicholas G. Murray +1Reconstruction-Based Anomaly DetectionUnsupervised Anomaly Detection

    University of Nevada, Reno

  14. The Payment Heterogeneity Index: An Integrated Unsupervised Framework for High-Volume Procurement Oversight and Decision Support

    May 9, 2026Kyriakos ChristodoulidesUnsupervised Anomaly DetectionAnomaly Detection

    Philips University, Department of Computer Science, Nicosia, Cyprus · Novel Intelligence, London, UK

  15. Kurtosis-Guided Denoising Score Matching for Tabular Anomaly Detection

    May 7, 2026Victor Livernoche, Jie Zan, Reihaneh RabbanyTabular Anomaly DetectionUnsupervised Anomaly Detection

    McGill University, Mila, Montréal, Canada

  16. PAMPOS: Causal Transformer-based Trajectory Prediction for Attack-Agnostic Misbehavior Detection in V2X Networks

    May 7, 2026Konstantinos Kalogiannis, Ahmed Mohamed Hussain, Panos PapadimitratosUnsupervised Anomaly DetectionV2X Communication

    Networked Systems Security Group · KTH Royal Institute of Technology · Stockholm, Sweden

  17. CLAD: A Clustered Label-Agnostic Federated Learning Framework for Joint Anomaly Detection and Attack Classification

    May 7, 2026Iason Ofeidis, Nikos Papadis, Randeep Bhatia +2IoT Intrusion DetectionNetwork Intrusion Detection

    Yale University, New Haven, CT, USA · Nokia Bell Labs, Murray Hill, NJ, USA

  18. Two Steps Are All You Need: Efficient 3D Point Cloud Anomaly Detection with Consistency Models

    May 6, 2026Pranav A, Shashank B, Pranav Siddappa +3Point Cloud Anomaly DetectionIndustrial Anomaly Detection

    1R.V. College of Engineering · 2Technical University of Applied Sciences Würzburg-Schweinfurt

  19. Unsupervised Machine Learning for Detecting Structural Anomalies in European Regional Statistics

    May 4, 2026Bogdan OanceaTabular Anomaly DetectionUnsupervised Anomaly Detection

    Department of Applied Economics and Quantitative Analysis, University of Bucharest, Romania · National Institute for Research and Development for Biological Sciences, Bucharest, Romania

  20. Dimensionality-Aware Anomaly Detection in Learned Representations of Self-Supervised Speech Models

    May 4, 2026Sandra Arcos-Holzinger, Sarah M. Erfani, James Bailey +1Intrinsic DimensionalityUnsupervised Anomaly Detection

    University of Melbourne, School of Computing and Information Systems, Australia · Monash University, Department of Data Science and Artificial Intelligence, Australia · Johns Hopkins University, Center for Language and Speech Processing, USA

  21. Evaluating Tabular Representation Learning for Network Intrusion Detection

    May 4, 2026Muhammad Usman Butt, Andreas Hotho, Daniel SchlörRepresentation LearningNetwork Intrusion Detection

    Julius-Maximilians-Universität Würzburg Würzburg, Germany · Data Science Chair Center for Artificial Intelligence and Data Science Julius-Maximilians-Universität Würzburg Würzburg, Germany

  22. Scalable Context-Aware Graph Attention for Unsupervised Anomaly Detection in Large-Scale Mobile Networks

    May 1, 2026Sara Malacarne, Eirik Hoel-Høiseth, Erlend Aune +2Graph Attention NetworksReconstruction-Based Anomaly Detection

    Telenor Research and Innovation, Norway · Norwegian University of Science and Technology (NTNU), Norway · Hance, Norway +2

  23. Context-Aware Graph Attention for Unsupervised Telco Anomaly Detection

    Apr 29, 2026Sara Malacarne, Eirik Hoel-Høiseth, Erlend Aune +2Graph Attention NetworksReconstruction-Based Anomaly Detection

    Telenor Research and Innovation, Norway · Norwegian University of Science and Technology (NTNU), Norway · Hance, Norway +2

  24. Anomaly Detection in Soil Heavy Metal Contamination Using Unsupervised Learning for Environmental Risk Assessment

    Apr 29, 2026Isaac Tettey Adjokatse, Samuel Senyo Koranteng, George Yamoah Afrifa +6Isolation ForestUnsupervised Anomaly Detection

    Institute of Environment and Sanitation Studies University of Ghana Legon, Accra, Ghana · Ghana Space Science and Technology Institute Accra, Ghana · Department of Mathematics Rhodes University, Grahamstown, South Africa +2

  25. Unsupervised Graph Modeling for Anomaly Detection in Accounting Subject Relationships

    Apr 29, 2026Yuhan Wang, Ruobing Yan, Zhe Su +3Anomaly LocalizationReconstruction-Based Anomaly Detection

    Columbia University, New York, USA · Georgetown University, Washington, D.C., USA · Pepperdine University, Malibu, USA +2

  26. Text-Guided Multimodal Unified Industrial Anomaly Detection

    Apr 24, 2026Zewen Li, Shuo Ye, Zitong Yu +2Unified Multimodal ModelsIndustrial Anomaly Detection

    School of Computer Science & Software Engineering, Shenzhen University, China, 518060 · School of Computing and Information Technology, Great Bay University, Dongguan, 523000,China

  27. Anatomy-Aware Unsupervised Detection and Localization of Retinal Abnormalities in Optical Coherence Tomography

    Apr 24, 2026Tania Haghighi, Sina Gholami, Hamed Tabkhi +1Medical ImagingMedical Image Anomaly Detection

    University of North Carolina at Charlotte Charlotte, NC, USA

  28. Avionic Main Fuel Pump Simulation and Fault-Diagnosis Benchmark

    Apr 23, 2026Felix Leonhard Janzen, Lukas Moddemann, Alexander Diedrich +1Fault DetectionUnsupervised Anomaly Detection

    Institute of Artificial Intelligence

  29. Towards Modality-Agnostic Medical Image Anomaly Detection: A Training-Free Manifold Refinement Approach

    Apr 21, 2026Pritam Kar, Gouri Lakshmi S, Saptarshi BejMedical Image Anomaly DetectionManifold Learning

    aSchool of Data Science, Indian Institute of Science Education and Research, Thiruvananthapuram, 695551, Kerala, India

  30. One-Step Diffusion with Inverse Residual Fields for Unsupervised Industrial Anomaly Detection

    Apr 20, 2026Boan Zhang, Wen Li, Guanhua Yu +3Industrial Anomaly DetectionUnsupervised Anomaly Detection

    Department of Computer Science and Technology Xidian University Shaanxi, China 710126 · Department of Electronic Engineering Xidian University Shaanxi, China 710126