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. Unsupervised Data Drift Monitoring for Deployed Deepfake Speech Detectors

    Oct 12, 2026Lukáš Prokeš, Vojtěch Staněk, Anton Firc +1Distribution Shift DetectionUnsupervised Anomaly Detection

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

    Oct 12, 2026Firas Bayram, Maxime CordyAnomaly DetectionUnsupervised Anomaly Detection

    SnT, University of Luxembourg Luxembourg

  3. When LiDAR Fades, Radar Takes Over: LiDAR Reliability-Aware Adaptive Localization Under Airborne Obscurants

    Oct 9, 2026Moumita Mukherjee, Avijit Banerjee, Anton Koval +1Robot LocalizationLiDAR Odometry

    Robotics and AI Group, Department of Computer, Electrical and Space Engineering, Luleå University of Technology, Luleå, Sweden

  4. WaSA: Wavelet Scattering Autoencoders for Unsupervised Offline Detection of Malicious Clients in Federated Learning

    Oct 9, 2026Alessandro LicciardiByzantine-Robust Federated LearningUnsupervised Anomaly Detection

    Department of Mathematical Sciences, Politecnico di Torino, Turin, IT · National Institute of Nuclear Physics (INFN), Sezione di Torino, Turin, IT

  5. RIFT: Relative Isolation From Trees For Anomaly Detection

    Oct 8, 2026Mark Daniel Szalai, Gabor HorvathUnsupervised Anomaly DetectionAnomaly Detection

    Department of Networked Systems and Services, Faculty of Electrical Engineering and Informatics, Budapest University of Technology and Economics, M˝uegyetem rkp. 3, Budapest, H-1111, Hungary

  6. Unsupervised Maneuver-Aware Acoustic Fault Detection for Autonomous Drones

    Oct 7, 2026Ali M Ali, Ziyi Tang, Nurdaulet Nazarbay +1Fault DetectionUnsupervised Anomaly Detection

    Department of Mechanical and Aerospace Engineering, Carleton University, Ottawa, ON, K1S-5B6, Canada · Department of Electrical and Computer Engineering at the University of Alberta, Edmonton, AB, Canada · The Hong Kong Polytechnic University, Hong Kong

  7. Pareto-optimal quantum kernel selection for unsupervised anomaly detection on real malware beaconing data

    Oct 7, 2026Boaz Micah, Nadia Milazzo, Maissa Beji +8Quantum Kernel MethodsUnsupervised Anomaly Detection

    Multiverse Computing, Parque Científico y Tecnológico de Gipuzkoa, Paseo de Miramón 170, Planta 2, 20014 Donostia / San Sebastián, Spain · IQM Quantum Computers, 4 rue Royale, 75008 Paris, France · Multiverse Computing, 7 rue de la Croix Martre, 91120 Palaiseau, Paris, France +3

  8. A Multi-Source Ultrasound Benchmark Revealing the Limits of Contemporary Self-Supervised Anomaly Detection Methods

    Oct 7, 2026Marco Riedenauer, Daniel Kienzle, Pratik Mayekar +1Medical Image Anomaly DetectionUnsupervised Anomaly Detection

    University of Augsburg

  9. Quasi-Binarized Autoencoders: An Architecture-Independent Information Bottleneck for Medical Image Anomaly Detection

    Oct 7, 2026Shouhei Hanaoka, Takahiro Nakao, Atsushi Takamatsu +2Medical Image Anomaly DetectionUnsupervised Anomaly Detection

    Department of Radiology, The University of Tokyo Hospital, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan · Department of Computational Diagnostic Radiology and Preventive Medicine, The University of Tokyo Hospital, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan · Department of Radiology, Kanazawa University Hospital, 13-1 Takara-machi, Kanazawa, Ishikawa, 920-8641, Japan

  10. GRC-Net: Global Representation Consistency Network for Unsupervised Multimodal Anomaly Detection

    Oct 7, 2026Seyoung Jeong, Jong Pil Yun, Sang Jun LeeAnomaly DetectionIndustrial Anomaly Detection

    Jeonbuk National University, Jeonju, Republic of Korea · Korea Institute of Industrial Technology (KITECH), Incheon, Republic of Korea · Chung-Ang University, Seoul, Republic of Korea

  11. Deep Defence on Wheels: A Dual Intrusion Detection System Architecture for Comprehensive In-Vehicle Network Security

    Oct 5, 2026Shashwat Khandelwal, Shanker ShreejithNetwork Intrusion DetectionUnsupervised Anomaly Detection

    Trinity College Dublin, Ireland

  12. Adapting prior-data fitted networks for tabular anomaly detection

    Oct 5, 2026Maximilian Bershtman, Niv CohenTabular Anomaly DetectionUnsupervised Anomaly Detection

    Faculty of Electrical and Computer Engineering Technion – Israel Institute of Technology Haifa, Israel

  13. Machine learning for journal entry testing: A type-aware evaluation of anomaly detectors under a review budget

    Oct 5, 2026Jan Gronewald, Michel Scherer, Nijat MehdiyevFinancial Fraud DetectionUnsupervised Anomaly Detection

    Saarland University, Campus, 66123, Saarbrücken, Germany · German Research Center for Artificial Intelligence (DFKI), Institute for Information Systems (IWi), Campus D3.2, 66123, Saarbrücken, Germany · Leipzig University, Grimmaische Straße 12, 04109, Leipzig, Germany

  14. A Data-Driven Framework for Unsupervised Monitoring of Transmission Systems Using End-of-Line Testing Data: A Case Study at Ford Motor Company

    Oct 4, 2026Mohammad N. Bisheh, Mehrdad Moradi, Parinaz Farajiparvar +6Industrial Anomaly DetectionTime-Series Anomaly Detection

    Georgia Tech, Atlanta, Georgia, USA · Ford Motor Company, Dearborn, Michigan, USA

  15. Differentiable Koopman Operator for Contrastive Learning on Dynamic Graphs

    Oct 2, 2026Md Abrar Jahin, Taufikur Rahman Fuad, Md Rizwan ParvezDynamic Graph LearningGraph SSL

    University of Southern California · Islamic University of Technology · Qatar Computing Research Institute (QCRI)

  16. MIRTO: a registration-gated, multiverse-tested evaluation protocol for unsupervised anomaly segmentation in brain MRI

    Oct 1, 2026Negin Kafee Hernashki, Soumick ChatterjeeAnomaly LocalizationUnsupervised Anomaly Detection

    Università degli Studi di Milano, Milan, Italy · Politecnico di Milano, Milan, Italy · Human Technopole, Milan, Italy +1

  17. Have an LLM Write Your Anomaly Detector: Autonomous Discovery of Compact, Interpretable Detectors for Time Series

    Oct 1, 2026David BerghausInterpretable Anomaly DetectionLLM-Based Program Synthesis

    Lamarr Institute Germany · Fraunhofer IAIS Germany

  18. Generalist Representation, Specialist Detection: TS-Router for Time-Series Anomaly Detection

    Oct 1, 2026Tian Lan, Yifei Gao, Yimeng Lu +6Unsupervised Anomaly DetectionTime-Series Anomaly Detection

    Department of Industrial Engineering Tsinghua University · Huawei · Datadog AI Research Paris, France

  19. PCB-MC: Missing Component Analysis in Printed Circuit Boards

    Sep 30, 2026Betsy Villa Brochero, Ian Gibson, Estefania TalaveraIndustrial InspectionAnomaly Localization

    EEMCS-CS-DMB University of Twente Enschede, The Netherlands · ET-DPM-AMSPES University of Twente Enschede, The Netherlands

  20. What Streaming Anomaly Detection Finds (and Misses) in Industrial Time Series

    Sep 30, 2026Magali Parrino, Antoine Ajenjo, Emmanuel Remy +2Online Anomaly DetectionIndustrial Anomaly Detection

    EDF R&D, France · Inria, ENS, CNRS, PSL, France

  21. Cycle-Aware Autoencoder with Cross-SignalConsistency for Railway Door Anomaly Detection

    Sep 30, 2026Ammar Bouketta, Smail Niar, Hamza Ouarnoughi +1Industrial Anomaly DetectionFault Detection

    Universit´e Polytechnique Hauts-de-France, LAMIH CNRS UMR 8201, Valenciennes, France · Alstom, Crespin, France · Universit´e Polytechnique Hauts-de-France, LAMIH CNRS UMR 8201, INSA Hauts-de-France, Valenciennes, France +1

  22. Post-Anomaly Detection Inference for Deep SVDD

    Sep 29, 2026Cao Le Cong Thanh, Dang Quang Vinh, Vo Nguyen Le DuyAnomaly DetectionUnsupervised Anomaly Detection

    University of Information Technology, Ho Chi Minh City, Vietnam · Vietnam National University, Ho Chi Minh City, Vietnam

  23. When Does Unsupervised Learning Succeed or Fail? A PoS Perspective on Reconstruction-Based Anomaly Detection

    Sep 23, 2026Mehmet Yamaç, Yagmur Mustu, Muhammad Numan Yousaf +2Unsupervised Representation LearningReconstruction-Based Anomaly Detection

    Tampere University, Tampere, Finland · Radboud University, Nijmegen, The Netherlands

  24. PISCES: Physics-Informed Solar-wind Convolutional autoEncoder for Space-weather Anomaly Detection and Early Warning

    Sep 23, 2026Kevin Lee, Alison J. MarchInterpretable Anomaly DetectionConvolutional Autoencoder

    NASA Jet Propulsion Laboratory, La Cañada Flintridge, CA, USA · Department of Mechanical and Aerospace Engineering, UCLA, Los Angeles, CA, USA · College of Engineering & Applied Science, University of Colorado, Boulder, CO, USA

  25. Anomaly-Free Self-Optimization via AUC Bounds

    Sep 23, 2026Kevin Wilkinghoff, Zheng-Hua TanUnsupervised Anomaly DetectionHyperparameter Optimization

    Department of Electronic Systems, Aalborg University, Denmark · Pioneer Centre for AI, Denmark

  26. Comparative Evaluation of Static Embedding Models for HTTP Request Anomaly Detection

    Sep 22, 2026Amanda Riverol, Gustavo Betarte, Rodrigo Martínez +1Anomaly DetectionUnsupervised Anomaly Detection

    Tilsor SA · Departamento de Informática e Inteligencia Artificial, Universidad Católica del Uruguay

  27. Can We Predict Anomaly Detection Performance from Embedding-Space Geometry?

    Sep 22, 2026Kevin Wilkinghoff, Zheng-Hua TanUnsupervised Anomaly DetectionAnomaly Detection

    Department of Electronic Systems, Aalborg University, Denmark · Pioneer Centre for Artificial Intelligence, Denmark

  28. Unsupervised Brain Anomaly Detection as a Bayesian Inverse Problem with Diffusion Prior

    Sep 21, 2026Hugues Roy, Reuben Dorent, Ninon BurgosMedical Image Anomaly DetectionAnomaly Localization

    Sorbonne Université, Institut du Cerveau - Paris Brain Institute - ICM, CNRS, Inria, Inserm, AP-HP, Hôpital de la Pitié Salpêtrière, F-75013, Paris, France

  29. A Principled Approach to Unsupervised Anomaly Detection

    Sep 18, 2026James Myles, Matthew Baugh, Johanna P. Müller +2Unsupervised Anomaly DetectionAnomaly Detection

    Imperial College London, UK · Friedrich-Alexander University Erlangen-Nürnberg, Germany · Nanyang Technological University, Singapore

  30. Local Sparsity Enables Unsupervised LLM Safety Detection

    Sep 17, 2026Xin Chen, Gil Kur, Alexander Shevchenko +1Sparse AutoencodersLLM Safety

    ETH Zürich