Anomaly Detection

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

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  1. Beyond Balanced Accuracy: A Resolution and Parity-Controlled Benchmark for Vision-Language and Vision-Only Defect Assessment in UAV Power-Line Inspection

    Sep 23, 2026Linghao Zhang, Siyu Xiang, Junwei Kuang +1VLM EvaluationAnomaly Detection

    State Grid Sichuan Electric Power Research Institute, Chengdu 610041, China · Power System Security and Operation Key Laboratory of Sichuan Province

  2. 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

  3. 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

  4. SAFe: Segment-guided Aggregation of Feature Densities for Anomaly-aware Segmentation

    Sep 21, 2026Anja Delić, Jurica Runtas, Marin Oršić +2Anomaly LocalizationDensity Estimation

    University of Zagreb Faculty of Electrical Engineering and Computing Laboratory for Autonomous Systems and Mobile Robotics Zagreb, Croatia

  5. Collaborative Streaming Anomaly Detection with Interactive Explanations and Ensemble Consensus

    Sep 20, 2026Diogo Risca, Afonso Lourenço, Ricardo Martins +1Online Anomaly DetectionInterpretable Anomaly Detection

    GECAD, ISEP, Polytechnic of Porto, Portugal · SISTRADE Software Consulting, Porto, Portugal

  6. Earth Surface Immune System for Rapid Monitoring of Unknown Anomalies

    Sep 17, 2026Jingtao Li, Qian Zhu, Xinyu Wang +3Remote Sensing Change DetectionAnomaly Localization

    State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, P. R. China. · School of Remote Sensing and Information Engineering, Wuhan University, P. R. China.

  7. TeleAntiFraud 2.0: A Refreshable, Profile-Grounded, and Audio-Based Benchmark for Telecom Fraud Detection

    Sep 16, 2026Huiyuan Liu, Zhiming Ma, Yanxing Liu +11Anomaly Detection

    People’s Public Security University of China · JD Technology · Chongqing Ant Consumer Finance Co., Ltd., Ant Group +3

  8. Anomaly Detection in General Ledger Data: Results from a Hybrid Approach

    Sep 16, 2026Jan Gronewald, Alexander Michael Rombach, Sebastian Stephan +1Algorithmic AuditingAnomaly Detection

    German Research Center for Artificial Intelligence (DFKI) GmbH

  9. FoundAna: A GNN-assisted Foundation Model for Graph Anomaly Detection

    Sep 16, 2026Suprim Nakarmi, Chahana Dahal, Yue Zhao +2Graph Neural NetworksReconstruction-Based Anomaly Detection

    Department of Computer Science, University of Nevada Las Vegas, Las Vegas, USA · Department of Computer Science, University of Southern California, Los Angeles, USA

  10. RoboVAD: A Large Cross-Domain Evaluation Benchmark for Anomaly Detection in Robotic Arm Manipulation Videos

    Sep 15, 2026Alexandru-Bogdan Dura, Sebastian Balmus, Radu Tudor IonescuRobot Manipulation BenchmarksVideo Anomaly Detection

    ICI Bucharest, Romania · University of Bucharest, Romania

  11. FreqSpaNet: Frequency and Spatial Learning of SFPF for Physical Layer Hardware Integrity Detection

    Sep 15, 2026Xiaoxuan Huang, Jinlong Xu, YiZhe Wang +3Frequency-Domain Feature LearningAnomaly Detection

  12. Not All Relations Are Equal: Relation-Balanced and Calibrated Graph Learning for Provenance-Based Intrusion Detection

    Sep 15, 2026Lijie Zheng, Ji He, Alessandro Brighente +2Reconstruction-Based Anomaly DetectionUnsupervised Anomaly Detection

    School of Computer Science and Technology, Xidian University, Xi’an, China · Department of Mathematics, University of Padova, Padova, Italy · School of Science and Technology, Örebro University, Örebro, Sweden

  13. Event-Native Symbolic-Temporal Spike Encoding Framework for Heterogeneous Cyber Streams

    Sep 14, 2026Dalton Diez, Peyton Andras, Max Shroyer +1Network Intrusion DetectionSpiking Neural Networks

    Louisiana State University Baton Rouge, Louisiana, USA

  14. RAG-CT: Mitigating Privacy Risks on Retrieval-Augmented Generation Systems via Scanning Prompt Distribution

    Sep 14, 2026Xingyu Lyu, Jiayimei Wang, Jianfeng He +3Privacy Leakage in Language ModelsRAG Security

    University of Massachusetts Lowell, Lowell, MA 01854, USA · City University of Hong Kong, Kowloon, Hong Kong SAR, 999077, China · Virginia Tech, Blacksburg, VA 24061, USA +2

  15. Aligned Radiometric RGB-Thermal Fusion for UAV Facade Anomaly Screening

    Sep 14, 2026Yuan Yang, Shulei Li, Haobo LiangThermal ImagingInfrared-Visible Image Fusion

    Hong Kong Center for Construction Robotics, Hong Kong SAR, China

  16. Structure-Aware Unsupervised Anomaly Detection for Spacecraft Telemetry with Adaptive EVT Thresholding

    Sep 9, 2026Óscar Alcarria, Rafael Sánchez, Javier Sempere +5Online Anomaly DetectionFault Detection

    Universidad de Castilla-La Mancha, Albacete, Spain · GMV GmbH, Darmstadt, Germany · GMV, Madrid, Spain

  17. Real-time and adaptive anomaly detection algorithm for cyclostationary models

    Sep 8, 2026Justyna Witulska, Tomasz Barszcz, Ireneusz Jabłoński +1Online Anomaly DetectionIndustrial Anomaly Detection

    Faculty of Pure and Applied Mathematics and Hugo Steinhaus Center, Wrocław University of Science and Technology, Wrocław, 50-370, Poland · AGH University, Kraków, 30-059, Poland · Faculty of MINT, Brandenburg University of Technology, Cottbus, 03046, Germany

  18. Topological Fraud Detection in Latent Transaction Spaces

    Sep 8, 2026Avraham BourlaFinancial Fraud DetectionPrivacy-Preserving ML

  19. SIM: Subspace Interaction-based Method for Token-Level Text Anomaly Detection

    Sep 8, 2026Kehan Yan, Yue Tan, Qingfeng Chen +3Anomaly LocalizationAnomaly Detection

    Guangxi University, Guangxi, China · Griffith University, Queensland, Australia

  20. Hyperspectral Anomaly Detection via Group Sparse Low-Rank Tensor Factorization With Automatic Anomaly Grouping

    Sep 8, 2026Quan Yu, Yu-Hong Dai, Xiongjun ZhangLow-Rank Matrix DecompositionTensor Decomposition

    School of Mathematics and Statistics, Central China Normal University, Wuhan 430079, China, and also with the Key Laboratory of Nonlinear Analysis and Applications (Ministry of Education), Central China Normal University · State Key Laboratory of Mathematical Sciences, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing 100190, China, and also with the School of Mathematical Sciences, University of Chinese Academy of Sciences, Beijing 100049, China

  21. Federated Binary Gating with Server-Side Vision-Language Inference for Surveillance Anomaly Classification

    Sep 7, 2026Côme-Alexis Puech, Sébastien Thuau, Amira Gran +3Video Anomaly DetectionVideo Surveillance

    esieaLab, ESIEA, Paris, France · ETIS Laboratory, CNRS, UMR8051, CY Cergy Paris University, Paris, France

  22. GLASS: Graph-Language Alignment with Spherical Scoring for Transferable Graph-Level Anomaly Detection

    Sep 4, 2026Xudong Wang, Chris Ding, Tongxin Li +1Few-Shot Anomaly DetectionCross-Modal Alignment

    School of Data Science, The Chinese University of Hong Kong, Shenzhen (CUHK-Shenzhen), China

  23. Differentiable Interval Bottlenecks for Interpretable Anomaly Detection in Numerical Data

    Sep 3, 2026Lamine Diop, Marc PlantevitTabular Anomaly DetectionAutoencoders

    EPITA, Laboratoire de Recherche de l’EPITA (LRE) · Le Kremlin-Bicˆetre, France

  24. Witnesses Explain Anomalies

    Sep 3, 2026Lamine DiopFeature AttributionTabular Anomaly Detection

    EPITA Research Laboratory, Le Kremlin-Bicˆetre FR-94276, France

  25. A Peer-Relative Representation Learning Framework for Energy Inefficiency Identification in Mobile Network Sites

    Sep 3, 2026Eliud Nyakweba Koto, Jaco du Toit, Adham Stoltz +1Unsupervised Representation LearningWireless Communications

    African Institute for Mathematical Sciences (AIMS), Cape Town, South Africa · Technology Strategy Planning Architecture & Assurance. Vodacom Group Limited, South Africa · Department of Electrical and Electronic Engineering, Stellenbosch University, South Africa +3

  26. FailBench: How Reliable are VLMs at Judging Robot Task Success?

    Sep 3, 2026Zaruhi Navasardyan, Tatul Danielyan, Hrant DavtyanVLM EvaluationRobot Failure Detection

    Metric AI Lab

  27. Neural-Collapse-guided Task-Free Continual Anomaly Detection

    Sep 3, 2026Xiaotong Kong, Chaoyang Song, Ziai Zhou +3Continual LearningIndustrial Anomaly Detection

    Key Laboratory of Measurement and Control of CSE, Ministry of Education, School of Automation, Southeast University, Nanjing 210096, China

  28. TrajMind: Chaining Role-Specialized LoRAs for Fast-and-Slow Collective Trajectory Anomaly Diagnosis

    Sep 2, 2026Jiahao Wu, Zhenqun Yang, Chen Jason Zhang +1Anomaly DetectionAgent Trajectory Analysis

    The Hong Kong Polytechnic University · Hong Kong, China

  29. RINSE: Robust Target-Time Normality Estimation for Zero-Shot Graph Anomaly Detection

    Sep 2, 2026Taufikur Rahman Fuad, Md Abrar Jahin, Amir HussainAnomaly DetectionTest-Time Adaptation

    Islamic University of Technology · University of Southern California · King Fahd University of Petroleum & Minerals

  30. Statistical Feature Augmentation for Anomaly Detection in Dynamic Graphs

    Sep 2, 2026Philipp Schlinge, Jean-Luc Schnipper, Martin AtzmuellerTemporal GNNsData Augmentation

    Osnabrück University, 49074 Osnabrueck,Germany · German Research Centre for Artificial Intelligence (DFKI), 49084 Osnabrück, Germany