Anomaly Detection

Ask about this topic

Overview

Anomaly detection studies how to identify observations or events that depart from expected behavior, often when examples of real anomalies are scarce or unknown. Common approaches learn normality through density estimation, isolation methods, reconstruction or forecasting, while newer methods use graph structure, multimodal features, synthetic anomalies, and pretrained vision or language models. Work spans settings such as industrial images, sensor time series, network traffic, and transaction graphs, with benchmarks including MVTec AD, SWaT, and DCASE used to assess detection and localization. A central challenge is balancing sensitivity against false alarms as data shift, training sets become contaminated, and models move from curated benchmarks to constrained real-world deployments.

Latest papers

CardsList

657 papers61 papers in the last four weeks, level with the four weeks before. 0.4% of all new papers.

  1. Conditional anomaly detection with soft harmonic functions

    Apr 23, 2026Michal Valko, Branislav Kveton, Hamed Valizadegan +2Anomaly Detection

    INRIA Lille - Nord Europe, SequeL project, 40 avenue Halley, Villeneuve d’Ascq, France · Technicolor Labs, Palo Alto, California, USA · Computer Science Department, University of Pittsburgh, Pennsylvania, USA +1

  2. Performance Anomaly Detection in Athletics: A Benchmarking System with Visual Analytics

    Apr 23, 2026Blessed Madukoma, Prasenjit MitraBenchmark DesignTime-Series Anomaly Detection

    Carnegie Mellon University Africa · Kigali, Rwanda

  3. A Hierarchical Ensemble Pipeline for Anomaly Detection in ESA Satellite Telemetry

    Apr 22, 2026Lorenzo Riccardo Allegrini, Geremia PompeiEnsemble LearningTime-Series Anomaly Detection

    ContinualIST, Pisa, Italy · University of Pisa, Department of Computer Science, Pisa, Italy

  4. IoT-Enhanced CNN-Based Labelled Crack Detection for Additive Manufacturing Image Annotation in Industry 4.0

    Apr 22, 2026Mohsen Asghari Ilani, Yaser Mike BanadEdge InferenceIndustrial Inspection

    School of Management, Swansea University, Swansea, United Kingdom · School of Electrical and Computer Engineering, University of Oklahoma, Norman, 73019, U.S.A.

  5. uLEAD-TabPFN: Uncertainty-aware Dependency-based Anomaly Detection with TabPFN

    Apr 22, 2026Sha Lu, Jixue Liu, Stefan Peters +4Tabular Anomaly DetectionAnomaly Detection

    Adelaide University · Queen's University Belfast

  6. Integrating Anomaly Detection into Agentic AI for Proactive Risk Management in Human Activity

    Apr 21, 2026Farbod Zorriassatine, Ahmad LotfiFall DetectionAI Risk Management

    Department of Computer Science · Nottingham Trent University · Nottingham, UK

  7. DP-FlogTinyLLM: Differentially private federated log anomaly detection using Tiny LLMs

    Apr 21, 2026Isaiah Thompson, Tanmay Sen, Ritwik BhattacharyaFederated LearningAnomaly Detection

    Department of Mathematical Sciences University of Texas at El Paso El Paso, TX 79968, USA · SQC & OR Unit Indian Statistical Institute Kolkata, 700118, India

  8. Mechanistic Anomaly Detection via Functional Attribution

    Apr 21, 2026Hugo Lyons Keenan, Christopher Leckie, Sarah ErfaniAdversarial Example DetectionAnomaly Detection

    School of Computing and Information Systems, The University of Melbourne, Victoria, Australia.

  9. Multi-Level Temporal Graph Networks with Local-Global Fusion for Industrial Fault Diagnosis

    Apr 20, 2026Bibek Aryal, Gift Modekwe, Qiugang LuTemporal GNNsMulti-Scale Feature Fusion

    Department of Chemical Engineering, Texas Tech University, Lubbock, TX 79409, USA

  10. Enhancing Tabular Anomaly Detection via Pseudo-Label-Guided Generation

    Apr 20, 2026Wei Huang, Yuxuan Xiong, Hezhe Qiao +3Tabular Anomaly DetectionPseudo-Labeling

  11. Enhancing Anomaly-Based Intrusion Detection Systems with Process Mining

    Apr 20, 2026Francesco Vitale, Francesco Grimaldi, Massimiliano Rak +1Process MiningNetwork Intrusion Detection

    DIETI University of Naples Federico II Naples, Italy

  12. Causally-Constrained Probabilistic Forecasting for Time-Series Anomaly Detection

    Apr 20, 2026Pooyan Khosravinia, João Gama, Bruno VelosoAnomaly LocalizationTime-Series Anomaly Detection

  13. From Admission to Invariants: Measuring Deviation in Delegated Agent Systems

    Apr 19, 2026Marcelo FernandezAI Agent MonitoringAI Agent Governance

    TraslaIA

  14. TransXion: A High-Fidelity Graph Benchmark for Realistic Anti-Money Laundering

    Apr 19, 2026Keyang Chen, Mingxuan Jiang, Yongsheng Zhao +9Financial Fraud DetectionSynthetic Benchmark Generation

    Fudan University · Peking University

  15. Back to Repair: A Minimal Denoising Network for Time Series Anomaly Detection

    Apr 19, 2026Kadir-Kaan Özer, René Ebeling, Markus EnzweilerReconstruction-Based Anomaly DetectionTime-Series Anomaly Detection

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

  16. Rewind-IL: Online Failure Detection and State Respawning for Imitation Learning

    Apr 17, 2026Gehan Zheng, Sanjay Seenivasan, Matthew Johnson-Roberson +1Robot Failure DetectionRobot Failure Recovery

    College of Connected Computing, Vanderbilt University, USA. · School of Computer Science, University of Waterloo, Canada. · School of Computer Science, The University of Sydney, Australia. +1

  17. Veritas-RPM: Provenance-Guided Multi-Agent False Positive Suppression for Remote Patient Monitoring

    Apr 17, 2026Aswini Misro, Vikash Sharma, Shreyank N GowdaHealthcareRemote Patient Monitoring

    YouDiagnose Limited / NHS, London, UK · YouDiagnose Limited, London, UK · School of Computer Science, University of Nottingham, Nottingham, UK

  18. 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

  19. 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

  20. Catching Every Ripple: Enhanced Anomaly Awareness via Dynamic Concept Adaptation

    Apr 16, 2026Jiaqi Zhu, Shaofeng Cai, Jie Chen +3Online Anomaly DetectionConcept Drift

    School of Automation and the National Key Laboratory of Autonomous Intelligent Unmanned Systems, Beijing Institute of Technology, Beijing 100081, China · School of Computing, National University of Singapore, Singapore 117417 · Harbin Institute of Technology, Harbin 150001, China +2

  21. H2VLR: Heterogeneous Hypergraph Vision-Language Reasoning for Few-Shot Anomaly Detection

    Apr 16, 2026Jianghong Huang, Luping Ji, Weiwei Duan +1Few-Shot Anomaly DetectionMedical Image Anomaly Detection

    School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China

  22. Failure Identification in Imitation Learning Via Statistical and Semantic Filtering

    Apr 15, 2026Quentin Rolland, Fabrice Mayran de Chamisso, Jean-Baptiste MouretRobot Failure DetectionAgent Failure Analysis

    Université Paris-Saclay, CEA, List, F-91120, Palaiseau, France · Inria, CNRS, Université de Lorraine, LORIA, F-54000 Nancy, France · Bleu Robotics, Paris, France

  23. 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

  24. CLAD: Efficient Log Anomaly Detection Directly on Compressed Representations

    Apr 14, 2026Benzhao Tang, Shiyu YangAnomaly DetectionOnline Anomaly Detection

    Guangzhou University

  25. LLM-Enhanced Log Anomaly Detection: A Comprehensive Benchmark of Large Language Models for Automated System Diagnostics

    Apr 14, 2026Disha PatelAnomaly DetectionOnline Anomaly Detection

    Department of Computer Science, California State University, Fullerton

  26. Extending Reconstruction: Reconstruction-to-Vector Diffusion for Hyperspectral Anomaly Detection

    Apr 13, 2026Jijun Xiang, Tao Wang, Jiayi Wang +3Anomaly DetectionHyperspectral Imaging

    the Rocket Force University of Engineering, Xi’an 710025, China

  27. MMR-AD: A Large-Scale Multimodal Dataset for Benchmarking General Anomaly Detection with Multimodal Large Language Models

    Apr 13, 2026Xincheng Yao, Zefeng Qian, Chao Shi +2Anomaly DetectionIndustrial Anomaly Detection

    School of Information Science and Electronic Engineering, Shanghai Jiao Tong University · MoE Key Lab of Artificial Intelligence, AI Institute, Shanghai Jiao Tong University

  28. IMPACT: A Dataset for Multi-Granularity Human Procedural Action Understanding in Industrial Assembly

    Apr 12, 2026Di Wen, Zeyun Zhong, David Schneider +18Human Activity RecognitionAnomaly Detection

    Karlsruhe Institute of Technology, Karlsruhe, Germany · ETH Zurich, Zurich, Switzerland · Italian Institute of Technology, Genova, Italy +1

  29. In-situ process monitoring for defect detection in wire-arc additive manufacturing: an agentic AI approach

    Apr 10, 2026Pallock Halder, Satyajit MojumderAdditive ManufacturingAgentic AI

    School of Mechanical and Materials Engineering, Washington State University, Pullman, WA, USA

  30. CAD 100K: A Comprehensive Multi-Task Dataset for Car Related Visual Anomaly Detection

    Apr 10, 2026Jiahua Pang, Ying Li, Dongpu Cao +10Anomaly DetectionIndustrial Anomaly Detection

    Beijing Institute of Technology · Tsinghua University · China Agricultural University +3