Anomaly Detection

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Overview

Anomaly detection studies how to identify observations or events that depart from expected behavior, often when examples of real anomalies are scarce or unknown. Common approaches learn normality through density estimation, isolation methods, reconstruction or forecasting, while newer methods use graph structure, multimodal features, synthetic anomalies, and pretrained vision or language models. Work spans settings such as industrial images, sensor time series, network traffic, and transaction graphs, with benchmarks including MVTec AD, SWaT, and DCASE used to assess detection and localization. A central challenge is balancing sensitivity against false alarms as data shift, training sets become contaminated, and models move from curated benchmarks to constrained real-world deployments.

Latest papers

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657 papers61 papers in the last four weeks, level with the four weeks before. 0.4% of all new papers.

  1. RADIOlogy: A Single-Pass Approach to Training-Free Zero-Shot Anomaly Detection

    Oct 29, 2026Joaquín Figueira, Giacomo D'Amicantonio, Egor BondarauAnomaly DetectionZero-Shot Anomaly Detection

    AIMS Group, Department of Electrical Engineering, Eindhoven University of Technology

  2. Formal Specifications with Data-Driven Signal Analysis

    Oct 28, 2026Roderick Bloem, Benedikt Maderbacher, Cristinel Mateis +3Fault DetectionAnomaly Detection

    Graz University of Technology, Graz, Austria · CISPA Helmholtz Center for Information Security, Saarbrücken, Germany · AIT Austrian Institute of Technology, Vienna, Austria +1

  3. ReForest: Interpretability Meets Reasoning in Isolation Forest

    Oct 27, 2026Juyoung Seo, Geonwoo Bang, Dongho Kim +1Anomaly DetectionInterpretable Anomaly Detection

    Department of Computer Education, Sungkyunkwan University, Seoul, Korea · Department of Immersive Media Engineering, Sungkyunkwan University, Seoul, Korea · Department of Computer Education/Social Innovation Convergence Program, Sungkyunkwan University, Seoul, Korea

  4. GradCO: Behavior-Aware Gradient-Conflict Offloading for Text-Based Person Anomaly Search

    Oct 27, 2026Zhiheng Fu, Zixu Li, Zhiwei Chen +4Text-Based Person SearchPerson Re-Identification

    Shandong University · National University of Singapore

  5. Quantifying and Prioritizing Stealthy Source-Manipulation Threats Against Multi-Source Anomaly Detectors

    Oct 27, 2026Indraveni Chebolu, Seema Panghal, Arnab Mallick +1Adversarial AttacksAnomaly Detection

    Information Security Group, Centre for Development of Advanced Computing, Hyderabad, Telangana, India

  6. Detecting bus delays and service anomalies in Niterói with autoencoder latent feature representations

    Oct 26, 2026Matheus Germano, Claudio E. C. CampeloAnomaly DetectionFault Detection

    Systems and Computing Department, Federal University of Campina Grande (UFCG), Campina Grande, PB, Brazil

  7. ExCal: Optimization-Free Multivariate Time Series Anomaly Detection via Excess Calibration

    Oct 26, 2026Kadir-Kaan Özer, René Ebeling, Markus EnzweilerTime-Series Anomaly DetectionAnomaly Detection

    Mercedes-Benz AG, Germany · Institute for Intelligent Systems, Esslingen University of Applied Sciences, Germany

  8. Multiple Leak Localization in Water Distribution Networks through Graph Neural Networks

    Oct 26, 2026Arvin Ajoodani, Sara Nazif, Pouria RamaziFault LocalizationGraph Neural Networks

    School of Civil Engineering, College of Engineering, University of Tehran, Tehran, Iran · Department of Biological Sciences and Department of Mathematics and Statistics, University of Calgary, Calgary, Canada

  9. SGDB: Semantic-Geometric Decoupling and Evidence Binding for Logical Anomaly Detection

    Oct 26, 2026Chenrui Ji, Jiafan Lu, Zilu Luo +3Anomaly DetectionIndustrial Anomaly Detection

    School of Information Science and Engineering, East China University of Science and Technology, Shanghai 200237, China

  10. Data Quality Audit and Bivariate Temperature-Humidity Analysis of a Long-Term LoRaWAN Network: Anomaly Detection, PCA, Clustering and Machine Learning

    Oct 23, 2026Mamadou SowTime-Series Anomaly DetectionAnomaly Detection

    LIPN-CNRS7030, Université Sorbonne Paris Nord, 99 avenue JB Clément, F-93430 Villetaneuse, France

  11. TENET: Time-point Encoding Network for Multivariate Time Series Anomaly Detection

    Oct 23, 2026Dongchan Cho, Juwon Hwang, Keumyeong Kang +2Unsupervised Anomaly DetectionTime-Series Anomaly Detection

    Industrial AI Lab, SimPlatform Co. Ltd. Affiliate Research Institute

  12. WADE: An LSTM-Based Anomaly Detection Engine for WebAssembly Applications

    Oct 22, 2026Ilaria Campestrini, Stefano Zanero, Engin KirdaSoftware SecurityAnomaly Detection

    Politecnico di Milano, Milan, Italy · Northeastern University, Boston, MA, USA

  13. Synthetic-to-Real Text-Based Person Anomaly Search via Multi-Model Retrieval Fusion and Cross-Encoder Reranking

    Oct 22, 2026Eugene Denteh, Blessing Agyei Kyem, Andrews Danyo +5Synthetic-to-Real Domain AdaptationAnomaly Detection

    North Dakota State University, Fargo, ND, USA · Sustainable Mobility and Advanced Research in Transportation (SMART) Lab · Texas A&M University, College Station, TX, USA +1

  14. LACToS: Local Anomaly Detection via Conditional Typicality of Superpixels

    Oct 22, 2026Jihoon Hong, Alireza Kheirandish, Rohan Sanda +1Superpixel SegmentationAnomaly Detection

    Georgia Institute of Technology, Atlanta, GA, USA · Stanford University, Stanford, CA, USA · Cohere

  15. HARMONY: Hierarchical Anchor Retrieval on Manifold for Oblivious-source Machinery Acoustic Anomaly Detection

    Oct 22, 2026Yuhang Zhang, Yang Li, Qiang Wu +1Anomaly DetectionIndustrial Anomaly Detection

    School of Software and Microelectronics, Peking University, Beijing, China · Independent Researcher · Collaborative Innovation Center for Western Ecological Safety, Lanzhou University, Lanzhou, China +2

  16. Autoregressive Multimodal Anomaly Detection with Large Language Models for Microservice Systems

    Oct 22, 2026Yixiang Tang, Fagui Liu, Guoxiang Zhong +2Multimodal Anomaly DetectionAnomaly Detection

    School of Computer Science and Engineering, South China University of Technology, Guangzhou 510006, China · Department of New Networks, Peng Cheng Laboratory, Shenzhen 518000, China

  17. Future of Time Series Anomaly Detection: From Historical Review to Unified Outlook

    Oct 22, 2026Zhijie Zhong, Zhiwen Yu, Pengyu Li +6Time-Series Anomaly DetectionAnomaly Detection

    School of Future Technology, South China University of Technology, Guangzhou, 510650, China · Pengcheng Laboratory, Shenzhen, 518066, China · School of Computer Science and Engineering, South China University of Technology, Guangzhou, Guangdong 510650, China +3

  18. Bridging the Closed-World Gap: Interpretable Anomaly Detection via a Hybrid TSK-FCM Ensemble on the BETH Dataset

    Oct 22, 2026Lohith Srikanth Pentapalli, Josette Riep, Justin Ouwerkerk +1Anomaly DetectionInterpretable Anomaly Detection

    University of Cincinnati

  19. Online Open-World Wafer Defect Discovery using Hyperdimensional Computing

    Oct 20, 2026Quanling Zhao, Ava Emami, Tsuyoshi Idé +4Online Anomaly DetectionIndustrial Anomaly Detection

    University of California San Diego · IBM Research · Anderon

  20. Agentic Ensemble with Vision-Language Models for Visual Anomaly Detection

    Oct 20, 2026Shangquan Sun, Wenjun Luo, Xu He +2Anomaly Detection

    College of Computing and Data Science, Nanyang Technological University, Singapore. · Manufacturing Engineering, Hyundai Motor Company.

  21. BEACON: Bridging Multimodal Semantics and Asynchronous Propagation for Cloud System Anomaly Detection

    Oct 20, 2026Zhe Li, Tengxue Zhang, Yang Shu +4Anomaly DetectionMultimodal Anomaly Detection

    East China Normal University · Alibaba Cloud Computing · Aalborg University

  22. Securing Agentic Commerce Through Behavior-Aware Fraud Detection and Cybersecurity for Trusted AI-Agent Payment Authorization

    Oct 20, 2026Kayode L. OgunsusiAI Agent SecurityAgentic Commerce

    Credit and Fraud Risk, American Express, Phoenix, Arizona, USA

  23. Universal Semantic Enhancement for Weakly Supervised Anomaly Detection

    Oct 16, 2026Siyu Zhou, Yuqin Xie, Hao Yuan +1Tabular Anomaly DetectionAnomaly Detection

    Department of Computer Science and Engineering, The Hong Kong University of Science and Technology, Hong Kong · College of Computer Science, Sichuan University, China

  24. What Remains Without Leaking Test Labels? Exposing Evaluation Flaws in Graph-Level Anomaly Detection

    Oct 16, 2026Yujie Lu, Da YanGraph-Based Anomaly DetectionAnomaly Detection

    Luddy School of Informatics, Computing, and Engineering, Indiana University Bloomington, Bloomington, Indiana, USA

  25. MAIA: Anticipating Interaction Anomalies in Contact-Rich Manipulation via Multimodal World Models

    Oct 15, 2026Yi Qiao, Maolin Zheng, Haoran Sun +2Anomaly DetectionContact-Rich Robotic Manipulation

    School of Artificial Intelligence, Shanghai Jiao Tong University

  26. O-RAN-Native Jamming Detection Under Network Heterogeneity

    Oct 14, 2026Sneihil Gopal, Fernando J. Cintrón, Richard A. RouilWireless CommunicationsAnomaly Detection

    PREP Associate, National Institute of Standards and Technology (NIST), USA · Department of Physics, Georgetown University, USA · National Institute of Standards and Technology (NIST), USA

  27. Few-Shot Adaptation for Anomalous Sound Detection at Low False-Positive Rate

    Oct 14, 2026Simone Lugani, Christof Pichler, Hannes Wegleiter +3Anomaly DetectionIndustrial Anomaly Detection

    DITEN, University of Genoa, Genoa, Italy · Christian Doppler Laboratory for Measurement Systems for Harsh Operating Conditions, EMS, TU Graz, Graz, Austria · voestalpine Stahl GmbH, Linz, Austria

  28. Robust Logical Anomaly Detection under Capture Shifts via Synthetic Anomalies

    Oct 13, 2026Ufuk Efe, Alptekin TemizelAnomaly DetectionIndustrial Anomaly Detection

    Graduate School of Informatics, Middle East Technical University, Üniversiteler Mahallesi, Dumlupınar Bulvarı No:1, Ankara, 06800, Türkiye

  29. HelpMeOut: A Neuropsychology-Grounded Benchmark for Error-Aware Monitoring of Household Task Execution

    Oct 13, 2026Haoran Wang, Jingwei Huang, Anqing Duan +2AI Agent MonitoringAI Agent Benchmarks

    University of Auckland, New Zealand · MBZUAI, United Arab Emirates

  30. Feature-Context Consistency: Unsupervised Adversarial Detection with Drift Stability on Attributed Graphs

    Oct 12, 2026Firas Bayram, Maxime CordyGraph-Based Anomaly DetectionAnomaly Detection

    SnT, University of Luxembourg Luxembourg