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. BoRAD: Bootstrap your Own Representations for Multi-class Anomaly Detection

    Jun 12, 2026Duy Hoang Khuong, Tri Nguyen Minh, Ngu Huynh Cong VietRepresentation LearningIndustrial Anomaly Detection

    Department of Artificial Intelligence FPT University Ho Chi Minh City, Vietnam · Department of IT FPT University Ho Chi Minh City, Vietnam · Department of Computing Fundamental FPT University Ho Chi Minh City, Vietnam

  2. Conformal calibration and look-elsewhere effect in anomaly detection for new-physics searches

    Jun 11, 2026Jack Y. Araz, Michael SpannowskyPost-Hoc CalibrationConformal Prediction

    Department of Physics and Astronomy, University College London, London, WC1E 6B, UK · Department of Engineering, City St. George’s, University of London, London, EC1V 0HB, UK · Institute for Theoretical Physics, Campus Süd, Karlsruhe Institute of Technology (KIT), D-76128 Karlsruhe, Germany +1

  3. D2H-AD: A Hybrid Model Utilizing Hyperdimensional Computing for Advanced Anomaly Detection

    Jun 11, 2026Ghazal Ghajari, Elaheh Ghajari, Ashutosh Ghimire +3Hyperdimensional ComputingAnomaly Detection

    Wright State University, Dayton, Ohio 45435, USA · Azad University, Ahvaz 6887561349, Iran · Stevens Institute of Technology, Hoboken, New Jersey 07030, USA +1

  4. CRAFTIIF: Cross-Resolution Analytic Four-Type Interpretable Isolation Forest for Multivariate Time Series Anomaly Detection

    Jun 11, 2026William SmitsIsolation ForestInterpretable Anomaly Detection

    Avathon, Austin, TX, USA

  5. Rarity-Gated Context Conditioning for Offline Imitation Learning-Based Maritime Anomaly Detection

    Jun 11, 2026Yongmin Kim, ByeongHoon Jeon, Sungil KimTime-Series Anomaly DetectionAnomaly Detection

    Department of Industrial Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan 44919, Republic of Korea.

  6. Morphology-Aware Sample Assignment: Overcoming IoU Insensitivity for Surface Defect Detection

    Jun 11, 2026Pengfei Liu, Yuhan GuoIndustrial InspectionObject Detection

    Key Lab of Ultra-precision Intelligent Instrumentation, (School of Instrumentation Science and Engineering, Harbin Institute of Technology), Ministry of Industry and Information Technology, Harbin 150001, China · College of Computing and Data Science, Nanyang Technological University, Singapore 639798 · School of Management, Harbin Institute of Technology, Harbin 150001, China

  7. A Zero-shot Generalized Graph Anomaly Detection Framework via Node Reconstruction

    Jun 10, 2026Phan Nguyen, Dat Cao, Hien Chu +1Cross-Domain GeneralizationReconstruction-Based Anomaly Detection

    School of Computing, KAIST

  8. TaskFusion: Continual Anomaly Detection for Heterogeneous Tabular Data

    Jun 10, 2026Dayananda Herurkar, Federico Raue, Joachim Folz +2Tabular Anomaly DetectionContinual Learning

    German Research Center for Artificial Intelligence (DFKI), Kaiserslautern, Germany · RPTU Kaiserslautern-Landau, Germany · Hochschule Bonn-Rhein-Sieg (H-BRS), Germany

  9. Scalable anomaly detection via a univariate Christoffel function

    Jun 10, 2026Florian Grivet, Didier Henrion, Jean-Bernard Lasserre +1Anomaly Detection

    CNES, LAAS-DISCO, Comue de Toulouse · Centre national d’études spatiales (CNES), Paris, France. · LAAS-POP +3

  10. SAIGuard: Communication-State Simulation for Proactive Defense of LLM Multi-Agent Systems

    Jun 10, 2026Ruxue Shi, Yili Wang, Mengnan Du +4LLM Agent SecurityMulti-Agent System Security

    School of Artificial Intelligence, Jilin University, Changchun, China · The Chinese University of Hong Kong, Shenzhen, China · School of Information and Communication Technology, Griffith University, Australia

  11. EM-Fall: Embodied mmWave Sensing for Day-and-Night Fall Detection on Humanoid Robots

    Jun 9, 2026Yanshuo Lu, Yuxuan Hu, Shenghai Yuan +5Fall DetectionmmWave Radar Sensing

    MARS Lab · NTU · IOT Lab

  12. A Unified Siamese Learning Framework for Zero-Day Anomaly Detection and Classification in Optical Networks

    Jun 9, 2026Carlos Natalino, Flávia P. Monteiro, Paolo MontiFew-Shot LearningSiamese Neural Networks

    Department of Electrical Engineering, Chalmers University of Technology, 412 96 Gothenburg, Sweden · Federal University of Western Par´a (UFOPA), 68040-255 Santar´em, Par´a, Brazil

  13. A Source Domain is All You Need: Source-Only Cross-OS Transfer Learning for APT Anomaly Detection via Semantic Alignment and Optimal Transport

    Jun 8, 2026Sidahmed Benabderrahmanea, Petko Valtchev, James Cheney +1Cross-Domain Transfer LearningOptimal Transport

    New York University, NYUAD, Division of Science, Computer Science Department. · University of Quebec in Montreal, Computer Science Department, Montreal. · University of Edinburgh, School of Informatics, Edinburgh.

  14. Visual Prompting Meets Feature Reconstruction-Based Anomaly Detection with Dual-Teacher Supervision

    Jun 8, 2026Mateo Diaz-Bone, Daniel Caraballo, Florian Scheidegger +11Anomaly LocalizationReconstruction-Based Anomaly Detection

    IBM Research Europe Zurich, Switzerland

  15. Automating the Expert Eye: A System-Agnostic Deep Learning Framework for Rare Event Discovery in Imbalanced Force Spectroscopy

    Jun 8, 2026Jorge Rodriguez-RamosClass-Imbalanced LearningConvolutional Neural Networks

    Independent Researcher, Marseille, France

  16. Illumination-Invariant Anomaly Detection for Sub-Canopy UAV Multispectral Point Clouds

    Jun 8, 2026Likun Chen, Yanfeng Gu, Xian LiSparse RecoveryUnsupervised Anomaly Detection

    School of Electronics and Information Engineering Harbin Institute of Technology Harbin, China

  17. Anomaly Detection and Root Cause Analysis for Microservice Systems

    Jun 8, 2026Luan PhamSoftware EngineeringMicroservice Architecture

    Viet Nam National University Ho Chi Minh City - University of Technology (HCMUT) · School of Computing Technologies, College of Science, Technology, Engineering and Maths, Royal Melbourne Institute of Technology (RMIT University), Melbourne, Victoria, Australia

  18. Sample-Efficient LLM-Based Detection of Malicious Web Server Logs with Forensically Explainable Reasoning

    Jun 7, 2026Bernhard Kneip, Nhien-An Le-Khac, Hong-Hanh Nguyen-LeExplainable Artificial IntelligenceCoT Reasoning

  19. Physically Consistent Null Space Alignment for Detection of Low-Magnitude False Data Injection Attacks

    Jun 7, 2026Xin Li, Chenhan Xiao, Jonathan Cohen +3False Data Injection AttacksCybersecurity

    Faculty of Computer and Information Science, Ben-Gurion-University, Be’er Sheva, Israel · School of Electrical, Computer and Energy Engineering, Arizona State University, AZ, USA · Department of Computer Science, Shamoon College of Engineering, Be’er Sheva, Israel

  20. An AI Security Agent for University ACMIS: Multi-Vector Threat Detection and Automated Response

    Jun 6, 2026Joseph Walusimbi, Joshua Benjamin SsentongoAutonomous Cyber DefenseNetwork Intrusion Detection

    Department of Electronics and Computer Engineering, Soroti University, Soroti, Uganda

  21. AI-Native Closed-Loop Security for 6G-Enabled Cyber-Physical Systems: From Edge Detection to Network-Wide Mitigation

    Jun 6, 2026Bilal Hussain, Muhammad Bilal, Tan Li +6Cyber-Physical Systems6G Networks

    Division of Science, Engineering, and Health Studies, School of Professional Education and Executive Development, The Hong Kong Polytechnic University, Hong Kong SAR, China · School of Computing and Communications, Lancaster University, United Kingdom · Department of Computer Science, The Hang Seng University of Hong Kong, Hong Kong SAR, China +4

  22. LogNEO: A GPT-Neo Reinforcement Learning Framework for Accurate Real-Time Log Anomaly Detection

    Jun 6, 2026David Eje, Tanmay Sharma, Khush Patel +2RL for Language ModelsOnline Anomaly Detection

    Department of Computer Science, Innopolis University, Innopolis, Russia

  23. Automated 3D Kinematic Monitoring for Circadian Activity and Anomaly Detection in Juvenile Fish

    Jun 5, 2026Chih-Wei Huang, Chang-Wen Huang, Chung-Ping Chiang +1Anomaly Detection

    AI Research Center, National Taiwan Ocean Univ., Keelung City 20224, Taiwan. · Dept. of Aquaculture, National Taiwan Ocean Univ., Keelung City 20224, Taiwan. · Center of Excellence for the Oceans, National Taiwan Ocean University, Keelung City 20224, Taiwan.

  24. DAST: A VLM-LLM Framework for Cross-Interface Anomaly Detection in O-RAN

    Jun 4, 2026Francesco Spinelli, Esteban Municio, Pau Baguer +2Wireless CommunicationsOpen Radio Access Network

    i2CAT Foundation · NEC Laboratories Europe · ICREA

  25. T-SAR-JEPA: Self-Supervised Temporal Anomaly Detection in SAR Amplitude Stacks via Latent Prediction

    Jun 4, 2026Kerod Woldesenbet, Abem WoldesenbetSelf-Supervised Time Series Representation LearningRemote Sensing

    Independent Researcher · Dakota State University

  26. Attention-Guided Autoencoder Fusion for Insulator Defect Detection Using UAV Transmission-Line Imaging

    Jun 3, 2026Malak Allam, Khaled Shaban, Ali HamdiIndustrial InspectionObject Detection

    Faculty of Computer Science MSA University Giza, Egypt · Department of Computer Science and Engineering Qatar University Doha, Qatar

  27. NLLog: Lightweight, Explainable SOC Anomaly Detection via Log-to-Language Rewriting

    Jun 3, 2026Samuel Ndichu, Tao Ban, Seiichi Ozawa +2Online Anomaly DetectionCybersecurity

    National Institute of Information and Communications Technology, Tokyo, Japan · Kobe University, Kobe, Japan

  28. VT-3DAD: Cross-Category 3D Anomaly Detection via Visual-Text Normal Space Alignment

    Jun 3, 2026Zi Wang, Katsuya Hotta, Yawen Zou +4Point Cloud Anomaly DetectionFew-Shot Anomaly Detection

    Niigata University, Niigata-city, Japan · Iwate University, Morioka, Japan · University of Toyama, Toyama-city, Japan

  29. Trans GAN-WT: A Feature Extraction and Interactive Learning-Based Anomaly Detection Model for Wind Turbine Time Series Data

    Jun 2, 2026Jingzhe KangReconstruction-Based Anomaly DetectionTime-Series Anomaly Detection

    School of Mathematics, Shandong University, Jinan 250100, China

  30. Order within Chaos: Capturing Intrinsic Energy Anomalies for AI-Manipulated Image Forgery Localization

    Jun 1, 2026Yiming Wang, Baiqi Wu, Qingming Li +3Image Forgery DetectionDigital Image Forensics

    Zhejiang University, Hangzhou, China.