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. Evaluating Temporal and Structural Anomaly Detection Paradigms for DDoS Traffic

    Apr 17, 2026Yasmin Souza Lima, Rodrigo Moreira, Larissa F. Rodrigues Moreira +2Network Intrusion DetectionUnsupervised Anomaly Detection

    Institute of Exact and Technological Sciences Federal University of Viçosa (UFV) – MG – Brazil · University of São Paulo (USP) 05.508-010 – São Paulo – SP – Brazil · Department of Informatics – School of Engineering University of Minho (UMinho) – Braga – Portugal

  2. NK-GAD: Neighbor Knowledge-Enhanced Unsupervised Graph Anomaly Detection

    Apr 17, 2026Zehao Wang, Lanjun WangGraph Neural NetworksReconstruction-Based Anomaly Detection

    College of Intelligence and Computing, Tianjin University, Tianjin, China · School of New Media and Communication, Tianjin University, Tianjin, China

  3. Temporal Cross-Modal Knowledge-Distillation-Based Transfer-Learning for Gas Turbine Vibration Fault Detection

    Apr 16, 2026Ali Bagheri Nejad, Mahdi Aliyari-Shoorehdeli, Abolfazl HasanzadehCross-Modal Knowledge DistillationPredictive Maintenance

    Electrical Engineering Department K. N. Toosi University of Technology, Tehran, Iran · MECO, Karaj, Iran

  4. Unsupervised Anomaly Detection in Process-Complex Industrial Time Series: A Real-World Case Study

    Apr 15, 2026Sergej Krasnikov, Lukas Meitz, Samineh Bagheri +3Time-Series Anomaly DetectionIndustrial Anomaly Detection

    Universität Augsburg Augsburg, Germany · Technische Hochschule Augsburg Augsburg, Germany · Independent Researcher Karlsruhe, Germany

  5. ASTER: Latent Pseudo-Anomaly Generation for Unsupervised Time-Series Anomaly Detection

    Apr 15, 2026Romain Hermary, Samet Hicsonmez, Dan Pineau +2Time-Series Anomaly DetectionUnsupervised Anomaly Detection

    University of Luxembourg, Luxembourg

  6. Anomaly Detection in IEC-61850 GOOSE Networks: Evaluating Unsupervised and Temporal Learning for Real-Time Intrusion Detection

    Apr 14, 2026Joseph MooreNetwork Intrusion DetectionUnsupervised Anomaly Detection

    Computer Science, Boise State University, Boise, Idaho USA

  7. Out of Context: Reliability in Multimodal Anomaly Detection Requires Contextual Inference

    Apr 14, 2026Kevin Wilkinghoff, Neelu Madan, Juan Miguel Valverde +6Anomaly DetectionMultimodal Anomaly Detection

    Aalborg University, Denmark · Pioneer Centre for Artificial Intelligence, Denmark · Technical University of Denmark, Denmark +3

  8. Hodoscope: Unsupervised Monitoring for AI Misbehaviors

    Apr 13, 2026Ziqian Zhong, Shashwat Saxena, Aditi RaghunathanAI Agent MonitoringAI Agent Security

    Carnegie Mellon University

  9. Mitigating the reconstruction-detection trade-off in VAE-based unsupervised anomaly detection

    Apr 9, 2026Agathe Senellart, Maëlys Solal, Stéphanie Allassonnière +1Reconstruction-Based Anomaly DetectionUnsupervised Anomaly Detection

    UPCité, INSERM, HeKA | U1346 · Université Paris Cité, Inria, Inserm, HeKA, F-75015 Paris, France · ARAMIS, ICM +1

  10. 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

  11. 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.

  12. Matrix Profile for Time-Series Anomaly Detection: A Reproducible Open-Source Benchmark on TSB-AD

    Apr 2, 2026Chin-Chia Michael YehTime-Series Anomaly DetectionUnsupervised Anomaly Detection

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

    Apr 1, 2026Haseeb Tariq, Alen Kaja, Marwan HassaniFinancial Fraud DetectionAnomaly Detection

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

  14. A Semantically Disentangled Unified Model for Multi-category 3D Anomaly Detection

    Mar 26, 2026SuYeon Kim, Wongyu Lee, MyeongAh ChoPoint Cloud Anomaly DetectionUnsupervised Anomaly Detection

    Kyung Hee University, Republic of Korea

  15. Semantic Iterative Reconstruction: One-Shot Universal Anomaly Detection

    Mar 24, 2026Ning ZhuMedical Image Anomaly DetectionUnsupervised Anomaly Detection

  16. A Feature Shuffling and Restoration Strategy for Universal Unsupervised Anomaly Detection

    Mar 24, 2026Wei Luo, Haiming Yao, Zhenfeng Qiang +2Unsupervised Anomaly DetectionAnomaly Detection

    State Key Laboratory of Precision Measurement Technology and Instruments, Tsinghua University, Beijing, 100084, China · School of Medical Technology, Beijing Institute of Technology, Beijing, 100081, China

  17. URA-Net: Uncertainty-Integrated Anomaly Perception and Restoration Attention Network for Unsupervised Anomaly Detection

    Mar 24, 2026Wei Luo, Peng Xing, Yunkang Cao +3Unsupervised Anomaly DetectionIndustrial Anomaly Detection

    State Key Laboratory of Precision Measurement Technology and Instruments, Department of Precision Instrument, Tsinghua University, Beijing, China · School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing 210094, China · State Key Laboratory of Intelligent Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan 430074, China

  18. Exploring Multimodal Prompts For Unsupervised Continuous Anomaly Detection

    Mar 23, 2026Mingle Zhou, Jiahui Liu, Jin Wan +2Unsupervised Anomaly DetectionAnomaly Detection

    Key Laboratory of Computing Power Network and Information Security, Ministry of Education, Shandong Computer Science Center (National Supercomputer Center in Jinan), Qilu University of Technology (Shandong Academy of Sciences), Jinan, China · Shandong Provincial Key Laboratory of Computing Power Internet and Service Computing, Shandong Fundamental Research Center for Computer Science, Jinan, China · Faculty of Data Science, City University of Macau, Macau, China

  19. Long-Term Outlier Prediction Through Outlier Score Modeling

    Mar 22, 2026Yuma Aoki, Joon Park, Koh Takeuchi +6Time-Series Anomaly DetectionUnsupervised Anomaly Detection

    Nara Institute of Science and Technology · Kyoto University · Panasonic Holdings Corporation

  20. Demographic-Aware Self-Supervised Anomaly Detection Pretraining for Equitable Rare Cardiac Diagnosis

    Mar 20, 2026Chaoqin Huang, Zi Zeng, Aofan Jiang +6Electrocardiogram ClassificationAnomaly Detection

    Shanghai Jiao Tong University, Shanghai, China · Shanghai AI Laboratory, Shanghai, China · National University of Defense Technology, Wuhan, China +2

  21. ICLAD: In-Context Learning for Unified Tabular Anomaly Detection Across Supervision Regimes

    Mar 19, 2026Jack Yi Wei, Narges ArmanfardTabular Anomaly DetectionTabular Foundation Models

    Department of Electrical and Computer Engineering, McGill University, Canada · Mila - Quebec Artificial Intelligence Institute, Montreal, Canada

  22. BoundAD: Boundary-Aware Negative Generation for Time Series Anomaly Detection

    Mar 18, 2026Xiancheng Wang, Lin Wang, Zhibo Zhang +2Time-Series Anomaly DetectionUnsupervised Anomaly Detection

    School of Ocean Engineering, Harbin Institute of Technology, West Wenhua Road, Weihai, 264209, Shandong, China. · Technical Center, Bogie Development Department, CRRC Qingdao Sifang Locomotive and Rolling Stock Co., Ltd., Jinhong East Road, Qingdao, 266111, Shandong, China.

  23. Unsupervised Symbolic Anomaly Detection

    Mar 18, 2026Md Maruf Hossain, Tim Katzke, Simon Klüttermann +1Unsupervised Anomaly DetectionAnomaly Detection

    TU Dortmund University, Dortmund, Germany · Research Center Trustworthy Data Science and Security, UA Ruhr, Germany

  24. FoMo X: Modular Explainability Signals for Outlier Detection Foundation Models

    Mar 18, 2026Simon Klüttermann, Tim Katzke, Phuong Huong Nguyen +1Interpretable Anomaly DetectionUnsupervised Anomaly Detection

    TU Dortmund University, Dortmund, Germany · Research Center Trustworthy Data Science and Security, University Alliance Ruhr, Dortmund, Germany

  25. Towards Unsupervised Adversarial Document Detection in Retrieval Augmented Generation Systems

    Mar 17, 2026Patrick LeviRAG SecurityRAG Poisoning Attacks

    Department of Electrical Engineering, Media, and Computer Science Ostbayerische Technische Hochschule Amberg-Weiden Amberg, Germany

  26. TinyGLASS: Real-Time Self-Supervised In-Sensor Anomaly Detection

    Mar 17, 2026Pietro Bonazzi, Rafael Sutter, Luigi Capogrosso +2Anomaly DetectionIndustrial Anomaly Detection

    ETH Zurich, Zurich, Switzerland · Interdisciplinary Transformation University of Austria, Linz, Austria · Swiss Engineering Partners AG, Zurich, Switzerland

  27. Sub-Band Spectral Matching with Localized Score Aggregation for Robust Anomalous Sound Detection

    Mar 14, 2026Phurich Saengthong, Takahiro ShinozakiAnomaly DetectionUnsupervised Anomaly Detection

    Department of Information and Communications Engineering, Institute of Science Tokyo, Japan

  28. GeoChemAD: Benchmarking Unsupervised Geochemical Anomaly Detection for Mineral Exploration

    Mar 13, 2026Yihao Ding, Yiran Zhang, Chris Gonzalez +2Unsupervised Anomaly DetectionAnomaly Detection

    The University of Western Australia, Perth, WA, Australia

  29. Surprised by Attention: Predictable Query Dynamics for Time Series Anomaly Detection

    Mar 13, 2026Kadir-Kaan Özer, René Ebeling, Markus EnzweilerTime-Series Anomaly DetectionUnsupervised Anomaly Detection

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

  30. Hierarchical Reference Sets for Robust Unsupervised Detection of Scattered and Clustered Outliers

    Mar 13, 2026Yiqun Zhang, Zexi Tan, Xiaopeng Luo +1Anomaly DetectionUnsupervised Anomaly Detection

    School of Computer Science and Technology, Guangdong University of Technology, Guangzhou, China