Interpretable Anomaly Detection

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Overview

Interpretable anomaly detection studies how to identify unusual observations or events while making clear why they were flagged. Approaches include intrinsically readable rules, prototypes and symbolic models, as well as feature attribution, counterfactuals, and language-based explanations layered onto deep detectors. These methods are used with images, time series, graphs, and tabular data in settings such as industrial monitoring, cybersecurity, healthcare, and scientific discovery, where explanations can guide investigation and response. A central challenge is ensuring that explanations are faithful and useful without reducing detection accuracy, especially as data and operating conditions shift.

Latest papers

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73 papers10 papers in the last four weeks, down 9% on the four weeks before. 0.1% of all new papers.

  1. ReForest: Interpretability Meets Reasoning in Isolation Forest

    Oct 27, 2026Juyoung Seo, Geonwoo Bang, Dongho Kim +1Anomaly DetectionInterpretable Anomaly Detection

    Department of Computer Education, Sungkyunkwan University, Seoul, Korea · Department of Immersive Media Engineering, Sungkyunkwan University, Seoul, Korea · Department of Computer Education/Social Innovation Convergence Program, Sungkyunkwan University, Seoul, Korea

  2. AdaTrendLike: Adaptive Hierarchical Detrending and Trend Likelihood Scoring for Time Series Anomaly Detection

    Oct 26, 2026Van Kwan Zhi Koh, Songnan Lin, Rongmo Luo +2Time-Series Anomaly DetectionInterpretable Anomaly Detection

    School of Electrical and Electronic Engineering, Nanyang Technological University, 50 Nanyang Ave, Singapore 639798. · Xylem Water Solutions Singapore Pte Ltd, Singapore 609935

  3. SGDB: Semantic-Geometric Decoupling and Evidence Binding for Logical Anomaly Detection

    Oct 26, 2026Chenrui Ji, Jiafan Lu, Zilu Luo +3Anomaly DetectionIndustrial Anomaly Detection

    School of Information Science and Engineering, East China University of Science and Technology, Shanghai 200237, China

  4. Bridging the Closed-World Gap: Interpretable Anomaly Detection via a Hybrid TSK-FCM Ensemble on the BETH Dataset

    Oct 22, 2026Lohith Srikanth Pentapalli, Josette Riep, Justin Ouwerkerk +1Anomaly DetectionInterpretable Anomaly Detection

    University of Cincinnati

  5. AnomalyJev: Towards Evaluating Image Anomaly Explanations via Claim-Level Verification

    Oct 20, 2026Qizhou Wang, Jiawen Zhu, Guansong Pang +1Explainability EvaluationInterpretable Anomaly Detection

    The University of Melbourne · Singapore Management University

  6. BEACON: Bridging Multimodal Semantics and Asynchronous Propagation for Cloud System Anomaly Detection

    Oct 20, 2026Zhe Li, Tengxue Zhang, Yang Shu +4Anomaly DetectionMultimodal Anomaly Detection

    East China Normal University · Alibaba Cloud Computing · Aalborg University

  7. Moment-Based Anomaly Detection in High-Dimensional Mixed Data

    Oct 12, 2026Davide Ferrari, Andrea NicolodiAnomaly DetectionTabular Anomaly Detection

    Free University of Bozen–Bolzano, Italy · University of Trento, Italy

  8. Local Diagnostics of Learned Event Representations for Anomaly Detection at the HL-LHC

    Oct 9, 2026Donatella Genovese, Philip Ploner, Simone Scardapane +2Anomaly DetectionInterpretable Anomaly Detection

    Department of Computer, Control and Management Engineering, Sapienza University of Rome · Department of Physics, ETH Zurich · Department of Information Engineering, Electronics and Telecommunications, Sapienza University of Rome +1

  9. Representation--Behavior Alignment for Explainable Weakly-Supervised Video Anomaly Detection

    Oct 4, 2026Chao Huang, Pengfei Wei, Kaige Li +4Interpretable Anomaly DetectionRepresentation Alignment

    Sun Yat-sen University · University of Macau

  10. Cog-VADU: A Training-Free Cognitive Reasoning Framework for Video Anomaly Detection and Understanding

    Oct 1, 2026Mohd Ubaid Wani, Sara Atito, Josef Kittler +1CoT ReasoningInterpretable Anomaly Detection

    Centre for Vision, Speech and Signal Processing (CVSSP) University of Surrey, UK · Surrey Institute for People-Centred AI (PAI) University of Surrey, UK

  11. 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

  12. Detect, Explain, Interpret: An End-to-End Benchmark for Time Series Anomaly Detection, Explainability and Interpretability

    Oct 1, 2026Roberto Stanzione, Jules Barbe, Magali Parrino +2Interpretable Anomaly DetectionAnomaly Localization

    Inria, ENS, CNRS, PSL Paris, France · Scality Paris, France · Inria, ENS, CNRS, PSL, EDF Paris, France

  13. From Benchmarks to Production: Transferring Time Series Anomaly Detection Methods for Electricity Production Monitoring

    Sep 30, 2026Nicolas Vautier, Paul Caron, Nardi Xhepi +4Interpretable Anomaly DetectionIndustrial Anomaly Detection

    EDF Lab Paris Saclay · EDF, DOAAT · Inria, Ecole Normale Sup´erieure (PSL), CNRS

  14. Augmenting Visual Anomaly Detection with Automated Interpretability

    Sep 27, 2026Antonio De Santis, Arsenio Leo, Marco BrambillaInterpretable Anomaly Detection

    Politecnico di Milano · Thales Alenia Space

  15. 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

  16. 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

  17. Signal2Symbol: Neuro-Symbolic Temporal Reasoning for Explainable Physiological Time-Series Anomaly Detection

    Sep 20, 2026Naser Mansour, Sidahmed Benabderrahmane, Ameer RahwanTime-Series Anomaly DetectionInterpretable Anomaly Detection

    New York University, NYUAD, Computer Science Department, Division of Science. · Koc University, Faculty of Medicine, Turkey.

  18. Interpretable Multi-Hypersphere Deep Anomaly Detection for Open-set Supervised Anomaly Detection

    Sep 19, 2026Zhiji Yang, Fangyong Wang, Yue Li +2Semi-Supervised Anomaly DetectionAnomaly Detection

    School of Statistics and Mathematics, Yunnan University of Finance and Economics, Kunming, 650221, China · Beijing National Center for Applied Mathematics, Capital Normal University, Beijing, 100048, China

  19. Identifying Security Platform Product Abuse with Machine Learning

    Sep 18, 2026Shaefer Drew, Michael Brautbar, Paul Knight +6Software SecurityAnomaly Detection

    USA · CrowdStrike · Canada +2

  20. Optimal Transport for Efficient, Unsupervised Anomaly Detection on Industrial Data

    Sep 12, 2026Abigail Langbridge, Fearghal O'Donncha, James T Rayfield +1Anomaly DetectionIndustrial Anomaly Detection

    Dyson School of Design Engineering Imperial College London* United Kingdom · AI for Sustainable Industry IBM Research Europe Dublin, Ireland · IBM T.J. Watson Research Center IBM Research NY, USA

  21. Self-Verifying Anomaly Detection using Explainable AI for Cybersecurity of DER Networks

    Sep 11, 2026Damilola Popoola, Souradeep Bhattacharya, Manimaran GovindarasuCyber-Physical SystemsNetwork Intrusion Detection

    Department of Electrical and Computer Engineering Iowa State University, Ames, IA 50011

  22. Variational Template Matching with Statistical Fusion for Anomaly Detection in Patterned Structures

    Sep 10, 2026Qinwu Xu, Yifan JiangAnomaly DetectionInterpretable Anomaly Detection

  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. RankShift: In-Database Detection and Explanation of Categorical Shifts

    Aug 28, 2026Omair Shafi AhmedDistribution Shift DetectionOnline Anomaly Detection

    Microsoft

  26. Interpretable Stress Detection from ECG Signals Using Motif-Based Anomaly Analysis

    Aug 27, 2026Zhanna Balyan, Sachin KumarInterpretable Anomaly DetectionElectrocardiography

    Zaven P. and Sonia Akian College of Science & Engineering, American University of Armenia, Yerevan, Armenia

  27. Stagewise Anomaly Detection for E-Transaxle Quality Monitoring Using Wavelet and STFT Features

    Aug 27, 2026Mohammad N. Bisheh, Rajesh Gupta, Qian Wang +5Anomaly DetectionIndustrial Anomaly Detection

    H. Milton Stewart School of Industrial & Systems Engineering Georgia Institute of Technology Atlanta, USA · Ford Motor Company USA · Amazon Web Services

  28. RAD: Rule-Augmented Relational Anomaly Detection

    Aug 24, 2026Noah Dahle, Anne Tumlin, Ngoc Tran +2Anomaly DetectionGraph-Based Anomaly Detection

    Vanderbilt University Nashville, Tennessee, USA

  29. Amortised Post-Hoc Explanation with Exact Preservation for Dynamic Graph Anomaly Detectors

    Aug 16, 2026Iyad Assaad Nekka, Hamida Seba, Walid Khaled Hidouci +1GNN ExplainabilityInterpretable Anomaly Detection

    LCSI Laboratory, National higher School of Computer Science (ESI), Algiers, Algeria · Université Claude Bernard Lyon, Lyon, France

  30. Explainability Boosted Anomaly Detection Framework for O-RAN based NextG Networks

    Aug 14, 2026Nurullah Aksu, Ali Fuat Sahin, Semiha Tedik BaşaranNetwork Intrusion DetectionCybersecurity

    Faculty of Electrical and Electronics Engineering, Istanbul Technical University, Istanbul, Turkiye · Communications and Signal Processing Research (HISAR) Lab, TUBITAK BILGEM, Kocaeli, Turkiye