Anomaly Detection

Ask about this topic

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

CardsList

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

  1. Thermal Anomaly Detection using Physics Aware Neuromorphic Networks: Comparison between Raw and L1C Sentinel-2 Data

    Apr 10, 2026Stephen Smith, Cormac Purcell, Gabriele Meoni +2Anomaly DetectionPhysics-Informed ML

    School of Physics, University of Sydney, Sydney, Australia · BolgianTen Ltd., Liverpool, United Kingdom · School of Computer Science, University of New South Wales, Sydney, Australia +3

  2. On-board Telemetry Monitoring in Autonomous Satellites: Challenges and Opportunities

    Apr 9, 2026Lorenzo Capelli, Leandro de Souza Rosa, Maurizio De Tommasi +8Interpretable Anomaly DetectionFault Detection

    University of Bologna, Italy · Thales Alenia Space Italia, Rome, Italy · European Space Agency (ESA-ESTEC), Netherlands

  3. Novel Anomaly Detection Scenarios and Evaluation Metrics to Address the Ambiguity in the Definition of Normal Samples

    Apr 8, 2026Reiji Saito, Satoshi Kamiya, Kazuhiro HottaAnomaly DetectionIndustrial Anomaly Detection

    Meijo University, 1-501 Shiogamaguchi, Tempaku-ku, Nagoya 468-8502, Japan

  4. Quantum-Inspired Tensor Network Autoencoders for Anomaly Detection: A MERA-Based Approach

    Apr 8, 2026Emre Gurkanli, Michael SpannowskyAnomaly DetectionAutoencoders

    Department of Physics, Sinop University, Turkiye · Institute for Theoretical Physics, Campus Süd, Karlsruhe Institute of Technology (KIT), D-76128 Karlsruhe, Germany · Institute for Quantum Materials and Technologies, Karlsruhe Institute of Technology, Karlsruhe 76131, Germany

  5. From Load Tests to Live Streams: Graph Embedding-Based Anomaly Detection in Microservice Architectures

    Apr 7, 2026Srinidhi Madabhushi, Pranesh Vyas, Swathi Vaidyanathan +3Anomaly DetectionUnsupervised Anomaly Detection

    Amazon Prime Video, USA

  6. Continual Visual Anomaly Detection on the Edge: Benchmark and Efficient Solutions

    Apr 7, 2026Manuel Barusco, Francesco Borsatti, David Petrovic +2Anomaly DetectionEdge Inference

    University of Padova, Italy

  7. Towards Resilient Intrusion Detection in CubeSats: Challenges, TinyML Solutions, and Future Directions

    Apr 7, 2026Yasamin Fayyaz, Li Yang, Khalil El-KhatibCybersecurityAnomaly Detection

    Faculty of Business and IT, Ontario Tech University, Oshawa, Ontario, L1G 0C5, Canada.

  8. Harnessing Hyperbolic Geometry for Harmful Prompt Detection and Sanitization

    Apr 7, 2026Igor Maljkovic, Maria Rosaria Briglia, Iacopo Masi +2VLM RobustnessAdversarial Attacks on VLMs

    University of Genoa, Italy · Sapienza University of Rome, Italy · University of Cagliari, Italy

  9. SGANet: Semantic and Geometric Alignment for Multimodal Multi-view Anomaly Detection

    Apr 7, 2026Letian Bai, Chengyu Tao, Juan DuAnomaly DetectionMultimodal Anomaly Detection

    Smart Manufacturing Thrust, The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, 511453, China · College of Mechanical and Vehicle Engineering, Hunan University, Changsha, 410082, China · The Hong Kong University of Science and Technology, Hong Kong SAR, 999077, China

  10. A Weak-Signal-Aware Framework for Subsurface Defect Detection: Mechanisms for Enhancing Low-SCR Hyperbolic Signatures

    Apr 7, 2026Wenbo Zhang, Zekun Long, Zican Liu +2Fault DetectionAnomaly Detection

    Road and Traffic Engineering Research Center, Zhejiang Normal University, Jinhua, Vhina · School of Information and Communication Technology, Griffith University, Brisbane, Australia · School of Cyber Science and Engineering, southeast university, Nanjing, China +1

  11. SMT-AD: a scalable quantum-inspired anomaly detection approach

    Apr 7, 2026Apimuk Sornsaeng, Si Min Chan, Wenxuan Zhang +4Anomaly DetectionQuantum-Inspired ML

    Science, Mathematics and Technology Cluster, Singapore University of Technology and Design, 8 Somapah Road, 487372 Singapore · Centre for Quantum Technologies, National University of Singapore 117543, Singapore · Artificial Intelligence and Data Analytics Strategic Technology Centre, ST Engineering +2

  12. Cross-Machine Anomaly Detection Leveraging Pre-trained Time-series Model

    Apr 7, 2026Yangmeng Li, Kei Sano, Toshihiro Kitao +4Anomaly DetectionIndustrial Anomaly Detection

    Program of Operations Research and Industrial Engineering, The University of Texas at Austin, 204 E. Dean Keeton Street, Austin, TX 78712-1139, USA. · Equipment Intelligence & App R&D Department, Tokyo Electron Ltd., Daido Seimei Sapporo Building, 1-3 Kita 3-jo Nishi, Chuo-ku, Sapporo, Hokkaido 060-0003, Japan. · Walker Department of Mechanical Engineering, The University of Texas at Austin, 204 E. Dean Keeton Street, Austin, TX 78712-1139, USA.

  13. InCTRLv2: Generalist Residual Models for Few-Shot Anomaly Detection and Segmentation

    Apr 6, 2026Jiawen Zhu, Mengjia Niu, Guansong PangAnomaly DetectionFew-Shot Anomaly Detection

    School of Computing and Information Systems, Singapore Management University, Singapore. · Dyson School of Design Engineering, Imperial College London, United Kingdom.

  14. The Hiremath Early Detection (HED) Score: A Measure-Theoretic Evaluation Standard for Temporal Intelligence

    Apr 5, 2026Prakul Sunil HiremathEarly Warning DetectionAnomaly Detection

    Department of Computer Science and Engineering, Visvesvaraya Technological University (VTU), Belagavi, India · Aliens on Earth (AoE) Autonomous Research Group, Belagavi, India

  15. Extended Hybrid Timed Petri Nets with Semi-Supervised Anomaly Detection for Switched Systems, Modelling and Fault Detection

    Apr 5, 2026Fatiha Hamdi, Abdelhafid Zeroual, Fouzi HarrouSemi-Supervised Anomaly DetectionFault Detection

    Department of Electronics, Faculty of technology, LAAAS Laboratory, Batna 2 University, Batna, Algeria. · Department of Electrical Engineering, Faculty of Science and Applied Sciences, Larbi Ben M’hidi University, Oum El Bouaghi, Algeria. · Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division, King Abdullah University of Science and Technology (KAUST), Thuwal, 23955-6900, Saudi Arabia.

  16. Hierarchical Point-Patch Fusion with Adaptive Patch Codebook for 3D Shape Anomaly Detection

    Apr 5, 2026Xueyang Kang, Zizhao Li, Tian Lan +3Point Cloud Anomaly DetectionAnomaly Detection

    The University of Melbourne, Parkville, Victoria 3010, Australia · Tsinghua University, Haidian District, Beijing 100871, China · The University of New South Wales, Sydney, NSW 2052, Australia +1

  17. Towards Intelligent Energy Security: A Unified Spatio-Temporal and Graph Learning Framework for Scalable Electricity Theft Detection in Smart Grids

    Apr 3, 2026AbdulQoyum A. Olowookere, Usman A. Oguntola, Ebenezer. Leke Odekanle +2Power SystemsAnomaly Detection

    Department of Chemical and Petroleum Engineering, Abiola Ajimobi Technical University, Ibadan, Oyo State, Nigeria. · Department of Computer Science, Abiola Ajimobi Technical University, Ibadan, Oyo State, Nigeria

  18. Financial Anomaly Detection for the Canadian Market

    Apr 2, 2026Luigi Caputi, Nicholas MeadowsAnomaly DetectionTopological Data Analysis

  19. Country-wide, high-resolution monitoring of forest browning with Sentinel-2

    Apr 2, 2026Samantha Biegel, David Brüggemann, Francesco Grossi +3Remote Sensing Change DetectionAnomaly Detection

    Photogrammetry & Remote Sensing, ETH Zurich and ETH AI Center · Swiss Data Science Center, ETH Zürich and EPFL · Forest and Soil Ecology, Swiss Federal Institute for Forest, Snow and Landscape Research WSL, 8903 Birmensdorf, Switzerland +2

  20. GenGait: A Transformer-Based Model for Human Gait Anomaly Detection and Normative Twin Generation

    Apr 2, 2026Elisa Motta, Marta Lorenzini, Clara Mouawad +3Gait AnalysisAnomaly Localization

    HRI2 Laboratory, Istituto Italiano di Tecnologia (IIT), Genoa, Italy · Department of Occupational and Environmental Medicine, Epidemiology and Hygiene, INAIL, Rome, Italy · Department of Medical and Surgical Sciences and Biotechnologies, Sapienza University of Rome, Rome, Italy

  21. CANDI: Curated Test-Time Adaptation for Multivariate Time-Series Anomaly Detection Under Distribution Shift

    Apr 2, 2026HyunGi Kim, Jisoo Mok, Hyungyu Lee +2Time-Series Anomaly DetectionAnomaly Detection

    Department of ECE, Seoul National University · DGIST · IPAI, Seoul National University +1

  22. Reducing Hallucinations in LLM-based Scientific Literature Analysis Using Peer Context Outlier Detection

    Apr 1, 2026Daniel Xie, Maxwell J. Jacobson, Adil Wazeer +3LLM Hallucination MitigationLLM Information Extraction

    Department of Computer Science, Purdue University, IN, USA · School of Materials Engineering, Purdue University, IN, USA

  23. Detecting Complex Money Laundering Patterns with Incremental and Distributed Graph Modeling

    Apr 1, 2026Haseeb Tariq, Alen Kaja, Marwan HassaniAnti-Money Laundering DetectionAnti-Money Laundering

    ING Bank Amsterdam, The Netherlands · Eindhoven University of Technology Eindhoven, The Netherlands · Identity & Risk Intelligence Adyen Amsterdam, The Netherlands +1

  24. Detecting Multi-Agent Collusion Through Multi-Agent Interpretability

    Apr 1, 2026Aaron Rose, Carissa Cullen, Sahar Abdelnabi +3AI Agent Security BenchmarksMulti-Agent System Security

    University of Oxford · ELLIS Institute Tübingen · Witt Lab University of Oxford +1

  25. mmAnomaly: Leveraging Visual Context for Robust Anomaly Detection in the Non-Visual World with mmWave Radar

    Apr 1, 2026Tarik Reza Toha, Shao-Jung, Lu +2Anomaly DetectionAnomaly Localization

    Louie · University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA

  26. VADMamba++: Efficient Video Anomaly Detection via Hybrid Modeling in Grayscale Space

    Apr 1, 2026Jihao Lyu, Minghua Zhao, Jing Hu +3Video Anomaly DetectionAnomaly Detection

    Shaanxi Key Laboratory for Network Computing and Security Technology, School of Computer Science and Engineering, Xi’an University of Technology, Xi’an, 710048, China.

  27. Deep Learning-Based Anomaly Detection in Spacecraft Telemetry on Edge Devices

    Mar 31, 2026Christopher Goetze, Tim Schlippe, Daniel LakeyAnomaly DetectionTime-Series Anomaly Detection

    IU International University of Applied Sciences, Germany

  28. A Semantic Observer Layer for Autonomous Vehicles: Pre-Deployment Feasibility Study of VLMs for Low-Latency Anomaly Detection

    Mar 30, 2026Kunal Runwal, Swaraj Gajare, Daniel Adejumo +3Anomaly DetectionVLMs for Autonomous Driving

    Department of Mechanical and Aerospace Engineering, Tandon School of Engineering, New York University, 6 MetroTech Center, Brooklyn, NY 11201, USA (ASAS-Labs). · Department of Electrical and Computer Engineering, Tandon School of Engineering, New York University, 6 MetroTech Center, Brooklyn, NY 11201, USA (ASAS-Labs). · The City College of New York, Grove School of Engineering, New York, NY 10031, USA.

  29. NeiGAD: Augmenting Graph Anomaly Detection via Spectral Neighbor Information

    Mar 30, 2026Qing Qing, Huafei Huang, Mingliang Hou +2Graph-Based Anomaly DetectionAnomaly Detection

    College of Computer Science and Technology, Jilin University, Changchun 130012, China · School of Computer Science and Information Technology, Adelaide University, SA 5095, Australia · Guangdong Institute of Smart Education, Jinan University, Guangzhou 510632, China +1

  30. Detecting the Unexpected: AI-Driven Anomaly Detection in Smart Bridge Monitoring

    Mar 30, 2026Rahul Jaiswal, Joakim Hellum, Halvor HeibergAnomaly DetectionStructural Health Monitoring

    Smart Sensor Systems AS, Oslo, Norway