Anomaly Detection

Ask about this topic

Momentum

40 papers in the last four weeks, up 33% on the four weeks before. 0.4% of all new papers.

Jul 13Week of Sep 28
View on map

Latest papers 409

All topics
CardsList

  1. PairAudit: Guiding Human Review with Graph Tokens under Distribution Shift

    Oct 7, 2026Jiran Tao, Binyan JiangNetwork Intrusion DetectionBlack-Box Model Auditing

    The Hong Kong Polytechnic University

  2. Efficient Patch-Based Anomaly Detection Fused with Diffusion Driven Generative Modeling for Semiconductor Wafer Bin Map Open Set Anomaly Detection

    Oct 7, 2026Limon Bin Hossain, Md Sadib Rahman AnantaAnomaly DetectionIndustrial Anomaly Detection

    Department of Industrial and Production Engineering, Bangladesh University of Engineering and Technology (BUET), Dhaka, 1000, Bangladesh

  3. Quantum anomaly detection in real scarce data

    Oct 7, 2026Emanuele Casciaro, Fabio Mascherpa, Alfonso Amendola +1Anomaly DetectionTime-Series Anomaly Detection

    Department of Physics and Astrophysics, University of Florence, Via Sansone, 1, Sesto Fiorentino, 50019, Italy · DICOX/C High Performance Computing Center of Excellence, DIT Digital & Information Technology, Eni S.p.A., Via Emilia 1, San Donato Milanese, 20097, Italy

  4. Second-order optimization of variable projection SVM models and road abnormality detection

    Oct 7, 2026Andrea Angino, Matthias Voigt, Rolf Krause +1Second-Order OptimizationSupport Vector Machines

    Faculty of Mathematics and Computer Science, UniDistance Suisse, Brig, Switzerland · CEMSE Division, KAUST, Thuwal, Saudi Arabia · Eötvös Loránd University, Faculty of Informatics, Department of Numerical Analysis

  5. 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

  6. Epistemic Uncertainty-Aware Defect Detection for Quality Control in Medical Device Manufacturing

    Oct 6, 2026Raham A. Butt, Marco Romanelli, Roche C. de GuzmanSelective PredictionEpistemic Uncertainty

    Department of Engineering, Hofstra University, Hempstead, NY 11549 USA · Department of Computer Science, Hofstra University, Hempstead, NY 11549 USA

  7. 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

  8. Detecting Nighttime Anomalies from NASA Black Marble Using a Generalized Spatio-Temporally Robust Framework of Machine Leaning Ensembles

    Oct 5, 2026Srija ChakrabortyEnsemble LearningAnomaly Detection

    Universities Space Research Association

  9. 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

  10. Adaptive-Shot Hybrid Quantum Anomaly Detection for Tactile Internet Security: Reliability-Aware Measurement Allocation Under Resource Constraints

    Oct 5, 2026Mubassir Serneabat Sudipto, Shakil Ahmed, Ashfaq Khokhar +1CybersecurityHybrid Quantum-Classical ML

    College of Engineering Iowa State University Ames, Iowa, United States · College of Computing Grand Valley State University Allendale, Michigan, United States · Carl R. Ice College of Engineering Kansas State University Manhattan, Kansas, United States

  11. Protocol-Sensitive Evaluation of Log Anomaly Detection: Component Costs and Target-Access Sensitivity on HDFS and BGL

    Oct 5, 2026Hang Xiao, Janet Sung, Zhaoyi Li +2Benchmark AuditingAnomaly Detection

    Fortinet, Inc. Sunnyvale, USA · Google LLC Mountain View, USA · Independent Researcher Mountain View, USA +1

  12. HydroJEV: A one-second, training-free screen for cyber-attack and fault attribution in water distribution networks

    Oct 1, 2026Tianwei Mu, Shengyan Jiang, Mingzhe Yuan +5CybersecurityLLMs for Cybersecurity

    School of Municipal Engineering and Environment, Shenyang Jianzhu University, Shenyang 110168, China · Guangzhou Institute of Industrial Intelligence, Guangzhou 510000, China · Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110169, China +2

  13. 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

  14. MADGRAV: a multilevel anomaly-detection pipeline for gravitational-wave searches applied to LIGO data

    Sep 30, 2026Gianluca Inguglia, Huw Haigh, Ulyana Dupletsa +1Gravitational-Wave AstronomyAnomaly Detection

    Marietta Blau Institute for Particle Physics, Austrian Academy of Sciences, Vienna, Austria · Universit`a degli Studi di Urbino ‘Carlo Bo’, I-61029 Urbino, Italy · INFN, Sezione di Firenze, I-50019 Sesto Fiorentino, Firenze, Italy

  15. Deep Learning for Anomaly Detection in Railway Systems: A Structured Survey

    Sep 30, 2026Ammar Bouketta, Smail Niar, Hamza OuarnoughiIndustrial Anomaly DetectionTime-Series Anomaly Detection

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

  16. 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

  17. Graph Anomaly Detection as Finite-Horizon Control: Training-Free Scoring via Empirical Bayes

    Sep 29, 2026Fred Xu, Thomas Markovich, Florence Regol +1Anomaly Detection

    University of California, Los Angeles · Block · Mila – Quebec AI Institute

  18. Visual Anomaly Synthesis for Model Selection in Data Scarcity

    Sep 29, 2026Daniel Pröll, Thomas Kraxner, Tobias Schaefer +1Industrial Anomaly DetectionSynthetic Anomaly Generation

    Digital Factory Vorarlberg GmbH, Dornbirn, Austria · University of Salzburg, Salzburg, Austria · illwerke vkw AG, Bregenz, Austria +1

  19. MAADBench: The Refreshable Paradigm for Anomaly Detection in Multi-Agent Systems

    Sep 29, 2026Lei Ma, Dennis Hofmann, Haowen Xu +4AI Agent BenchmarksMulti-Agent LLMs

    Worcester Polytechnic Institute · University of Arizona

  20. Towards Generalizable 3D Anomaly Detection via Relational Inconsistency Modeling

    Sep 28, 2026KunHo Heo, SuYeon Kim, Hayoung Lee +2Point Cloud Anomaly DetectionIndustrial Anomaly Detection

    Kyung Hee University

  21. VD-DeepStack: Bridging Visual Comparison and Language Reasoning for Few-Shot Anomaly Detection

    Sep 28, 2026Mengyang Zhao, Zhuolin He, Haiyang Yu +9Few-Shot Anomaly DetectionVisual Reasoning

    Fudan University · University of Southern California · Fuzhou University +1

  22. Beyond Geometry: Benchmarking and Consistency Reasoning for 3D Logical Anomaly Detection

    Sep 28, 2026Zhiqiang Qin, He Xie, Junfei Yi +5Point Cloud Anomaly DetectionIndustrial Anomaly Detection

    School of Artificial Intelligence and Robotics, Hunan University · National Engineering Research Center of Robot Visual Perception and Control Technology, Hunan University

  23. DynGraphAgentBench: A Benchmark for Agentic Lifecycle Control in Dynamic Graph Anomaly Detection

    Sep 27, 2026Yuwei Han, Lingwei Wei, Wooseong Yang +4Online Anomaly DetectionAI Agent Benchmarks

  24. The Selection Rule Decides the Winner: A Pre-Registered Audit of Open-Set Graph Anomaly Detection

    Sep 27, 2026Farhan Shahriyar Hossain, Taufikur Rahman Fuad, Md Abrar Jahin +1Few-Shot Anomaly DetectionBenchmark Auditing

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

  25. Focus and Supplement: Dual-Enhanced Vision Transformer for Multi-Class Anomaly Classification

    Sep 27, 2026Xurui Li, Enjie Xu, Chenzhou Li +4Vision TransformerIndustrial Anomaly Detection

    School of Electronic Information and Communications, Huazhong University of Science and Technology

  26. Relative Mismatch: Local-Reference Calibration of Feature-Space Flows for Anomalous Sound Detection

    Sep 24, 2026Anbai Jiang, Xinhu Zheng, Lvxin Xu +6Anomaly Detection

    Tsinghua University · Shanghai Jiao Tong University · North China Electric Power University +1

  27. AI-based detection of worsening heart failure from low-resolution telemonitoring data

    Sep 24, 2026Erik Aerts, Yinan Yu, Annika Rosengren +5Time Series TransformersAnomaly Detection

    Department of Computer Science and Engineering, Chalmers Universiy of Technology, Gothenburg, Sweden · Department of Computer Science and Engineering, University of Gothenburg, Gothenburg, Sweden · Center for Digital Health, Sahlgrenska University Hospital, Gothenburg, Sweden +3

  28. Predicting Emerging Topics from Outliers: A Prospective Study of Weak Signals in Embedding Space

    Sep 24, 2026Evangelia Zve, Gauvain Bourgne, Jean-Gabriel GanasciaTopic ModelingAnomaly Detection

    LIP6, Sorbonne Université, CNRS · Infopro Digital

  29. TEEP-RCNN: Texture-Enhanced Edge-aware Perception for Steel Surface Defect Detection via Improved Convolutional Block Attention in Faster R-CNN

    Sep 23, 2026Kirtan RajeshObject DetectionConvolutional Neural Networks

    Independent Researcher

  30. 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