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. Synthetic data generation framework for quality control automation in gravure printing

    Jul 23, 2026Korota Arsène Coulibaly, Mohamed Hamlich, Khalid Hmali +1Synthetic Data GenerationSynthetic Anomaly Generation

    LCCPS Lab, ENSAM, Hassan II University of Casablanca, 150 Bd du Nil, Casablanca, 20670, , Morocco · Plastima, Commune Chellalat, Route Secondaire 3002, Mohammedia, Casablanca, , , Morroco

  2. Unsupervised Consensus-Based Anomaly Detection for Spatiotemporal Malaria Incidence in Ghana

    Jul 23, 2026T. Ansah-Narh, Y. Asare AfraneHealthcareUnsupervised Anomaly Detection

    Ghana Space Science and Technology Institute, Ghana Atomic Energy Commission, P. O. Box LG 80, Legon, Accra, Ghana · Department of Medical Microbiology, University of Ghana Medical School, University of Ghana, Accra, Ghana

  3. Beyond Heavy Log Curation: Perplexity-Based APT Detection via Unsupervised, Context-Augmented Language Models

    Jul 23, 2026Shoya Otsu, Kei Suzuki, Toshiaki Koike-Akino +2Online Anomaly DetectionLLMs for Cybersecurity

    Mitsubishi Electric Corporation, Japan. · Mitsubishi Electric Research Laboratories, Cambridge, MA, USA.

  4. Detecting Neural Network Failures through Spectral Analysis of Internal Activations

    Jul 22, 2026Arunan JOOD DetectionAnomaly Detection

    Independent Researcher

  5. Drift-Aware RL-based Wavelet Denoising for Network-Traffic Anomaly Detection

    Jul 22, 2026Priyalakshmi Sheela, Indrakshi DeyReinforcement LearningConcept Drift

    Walton Institute, Department of Computing, South East Technological University, Waterford, Ireland

  6. Breaking the Homogeneity Assumption: Specialized Multi-Generator Adversarial Learning for Rare Failure Detection in Predictive Maintenance

    Jul 21, 2026Alexis Lazanas, Georgios KampouropoulosClass-Imbalanced LearningSynthetic Data Augmentation

    Department of Mechanical Engineering and Aeronautics, University of Patras, Patras, Greece

  7. Context-structured Video Anomaly Detection with Large Vision-Language Models

    Jul 21, 2026Dongjun Kim, Changjae Oh, Andrea Cavallaro +1Video Anomaly DetectionAnomaly Detection

    Yonsei University, Seoul, Republic of Korea · Queen Mary University of London, London, United Kingdom · EPFL, Lausanne, Switzerland

  8. IMMoE: Incomplete Multi-View Anomaly Detection via Mixture of View Experts Fusion

    Jul 21, 2026Lei HuMixture of ExpertsIndustrial Anomaly Detection

    South China University of Technology, Guangzhou, China

  9. MOPDA: Mixed-Trajectory On-Policy Distillation for Language-Guided Industrial Anomaly Detection

    Jul 21, 2026Shuimu Chen, Jing Jin, Nan Su +5Industrial Anomaly DetectionVLM Distillation

    Tsinghua University · Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ) · Shenzhen University

  10. Adaptive Two-Stage Online Learning for Service-Affecting Failure Detection in Mobile Core Networks

    Jul 20, 2026J. du Toit, G. Fita, J. Salzwedel +2Online Anomaly DetectionWireless Communications

    Department of Electrical and Electronic Engineering, Stellenbosch University, South Africa · Technology Strategy Planning, Architecture & Assurance, Vodacom Group Limited, South Africa · Core Data Networks Performance Management, Vodacom Group Limited, South Africa +1

  11. Hybrid Latent-Structural Fusion (HLSF) for Cyber Anomaly Detection

    Jul 20, 2026Dorianis M. Perez, Maksim E. Eren, Bryan E. KaiserUnsupervised Anomaly DetectionAnomaly Detection

    Center for Computing Research, Sandia National Laboratory, Albuquerque, NM 87185 · aX Computational Physics Division, Los Alamos National Laboratory, Los Alamos, 87545, NM, USA · Analytics, Intelligence, and Technology Division, Los Alamos National Laboratory, Los Alamos, 87545, NM, USA

  12. Adaptive Multi-Expert Graph Transformer for Interpretable EEG-Based Diagnostics

    Jul 20, 2026Maryam Rahimimovassagh, Md Elias Hossain, Ivan Garibay +1ElectroencephalographyDynamic Graph Learning

    Department of Industrial Engineering and Management Systems University of Central Florida, Orlando, FL, USA

  13. ClouDens: Operational Context-Aware Anomaly Detection for Large-scale Cloud System Monitoring

    Jul 20, 2026Thu T. H. Doan, Mohammad Saiful Islam, Andriy Miranskyy +3Cloud ComputingTime-Series Anomaly Detection

    Department of Computer Science, Gran Sasso Science Institute, L’Aquila, Italy · Department of Computer Science, Toronto Metropolitan University, Toronto, Canada · Department of Computer Science, Electrical Engineering and Mathematical Sciences, Western Norway University of Applied Sciences, Bergen, Norway +1

  14. Financial Audit Assistance using Misinformation Detection and Explanation

    Jul 20, 2026Kshitij Madhav Jadhav, Sushodhan Vaishampayan, Manoj Apte +3Interpretable Anomaly DetectionFinancial Fraud Detection

    TCS Research, Pune, 411057, Maharashtra, India. · Work done while working at TCS Research.

  15. AEGIS: Assay-Aware Protocol Validation and Runtime Monitoring for Open-Source Liquid Handling Robots

    Jul 17, 2026Priyanka V. Setty, Arvind Ramanathan, Ian Foster +1Laboratory AutomationRobotic Manipulation

    a Data Science and Learning Division, Argonne National Laboratory, Lemont, IL 60439, USA. · b Department of Computer Science, University of Chicago, Chicago, IL 60637, USA.

  16. SwinAD: Multi-stage feature reconstruction for unsupervised industrial anomaly detection

    Jul 16, 2026Huong Ninh, Chien Thai, Mai Xuan Trang +3Anomaly LocalizationReconstruction-Based Anomaly Detection

    Institute of Artificial Intelligence, University of Engineering and Technology, Vietnam National University · Applied AI Lab, Phenikaa School of Computing, Phenikaa University

  17. RF Spectrogram Anomaly Detection with Quantum Kitchen Sinks: Architecture, Representation, and Hardware Validation

    Jul 15, 2026Abdallah Aaraba, Alexis Vieloszynski, Remon Polus +2Hybrid Quantum-Classical MLWireless Communications

    Department of Computer and Software Engineering, Polytechnique Montréal, Montréal, QC, Canada · Thales cortAIx Labs, Montréal, QC, Canada

  18. M2P-AD: Memory-to-Prototype Learning with Boundary-aware Score Refinement for 3D Anomaly Detection

    Jul 15, 2026Seyoung Jeong, Jong Pil Yun, Sang Jun LeePrototype LearningIndustrial Anomaly Detection

    Jeonbuk National University, Jeonju, Republic of Korea · Manufacturing AI Research Center, Korea Institute of Industrial Technology (KITECH), Incheon, Republic of Korea

  19. LARAD: Layout-Aware Road Anomaly Detection via Spatial-Logic Reasoning

    Jul 14, 2026Shiyi Mu, Xujie Chen, Shugong XuAutonomous Driving PerceptionAnomaly Localization

    Shanghai University, Shanghai, China · Xi’an Jiaotong-Liverpool University, Suzhou, China

  20. Tracing Agentic Failure from the Flow of Success

    Jul 14, 2026Samuel Yeh, Yiwen Zhu, Shaleen Deep +1Agent Failure AnalysisAnomaly Detection

    Department of Computer Science, University of Wisconsin-Madison · Microsoft Research

  21. UD-ASD: A Unified Diffusion Model for Anomalous Sound Detection

    Jul 14, 2026Pengxiang Gao, Yu Qiu, Yanzhi SongAudio Diffusion ModelsFault Detection

    University of Science and Technology of China, China

  22. Closing the Loop: An Access-Control Architecture for Automated, Anomaly-Driven Network Revocation in IoT Deployments

    Jul 13, 2026Muhammet Emir Korkmaz, Kemal Bicakci, Yusuf UzunayAutonomous Cyber DefenseIoT Intrusion Detection

    Securify Information Technology and Security Training Consulting Inc., 06378, Ankara, TÜRK˙IYE · Informatics Institute, Istanbul Technical University, Ayazaga Campus, 34467, Maslak, Istanbul, TÜRK˙IYE

  23. CFR-Net:Collaborative Feature Refnement Network for Medical Image Anomaly Detection

    Jul 13, 2026Zihan Nie, Muhao Xu, Wei Feng +7Medical Image Anomaly DetectionAnomaly Localization

    School of Mechanical Engineering Shandong University Jinan, China · Key Laboratory of High Efficiency and Clean Mechanical Manufacture Shandong University, Ministry of Education Jinan, China · Monash University Clayton, VIC 3800, Australia +3

  24. PREF-Gate: Provenance-Constrained Relational Evidence Fusion with Validation-Gated Selection for Graph Fraud Detection

    Jul 13, 2026Liming Liu, Chao Hu, Mingfei Lu +3Data LeakageData Provenance

    Central South University, Changsha, China · University of Technology Sydney, Australian Artificial Intelligence Institute, Sydney, Australia

  25. TC-MAF: Train-Calibrated Bounded Multi-Evidence Fusion for Multimodal Industrial Anomaly Detection

    Jul 13, 2026Ming Deng, Sijin Sun, Xiaochuan Hu +1Industrial Anomaly DetectionAnomaly Localization

    Shanghai University Shanghai, China · National University of Singapore Singapore, Singapore · University of Electronic Science and Technology of China Chengdu, China

  26. A Novel Graph Fraud Detector via Grouped Attribute Completion and Confidence-Aware Contrastive Learning

    Jul 13, 2026Junpeng Wu, Ye YuanGraph Neural NetworksGraph-Based Semi-Supervised Learning

    College of Computer and Information Science Southwest University Chongqing, China

  27. Federated Low-Rank Koopman Learning for Multivariate Time-Series Anomaly Detection in IoT Systems

    Jul 9, 2026Tung-Anh Nguyen, Van-Phuc Bui, Anh Tuyen Le +4Koopman Operator LearningEdge ML

    Faculty of Engineering and IT, University of Technology Sydney, Ultimo, NSW, 2007, Australia · Faculty of Information Technology, FPT University, Vietnam · School of Electrical and Electronic Engineering, Hanoi University of Science and Technology, Vietnam

  28. CAAD: Causality-Aware Multivariate Time Series Anomaly Detection via Multi-Scale Alignment and Structural Causal Consistency

    Jul 9, 2026Xin Wang, Yunshi Wen, Yanan He +4Industrial Anomaly DetectionTime-Series Anomaly Detection

    Stony Brook University · Stony Brook, New York, USA · Rensselaer Polytechnic Institute +4

  29. Self-Adaptive Anomaly Detection with Reinforcement Learning and Human Feedback in Connected Vehicles

    Jul 9, 2026Matthias Weiß, Athreya Hosahalli Prakash, Maurice Artelt +3Online Anomaly DetectionConcept Drift

    Institute of Industrial Automation and Software Engineering (IAS), University of Stuttgart, Pfaffenwaldring 47, 70550 Stuttgart, Germany

  30. When Agents Go Rogue: Activation-Based Detection of Malicious Behaviors in Multi-Agent Systems

    Jul 7, 2026Haowen Xu, Xue Tan, Lei Ma +6LLM Agent SecurityAI Agent Monitoring

    Department of Computer Science, Worcester Polytechnic Institute, MA, USA · School of Computer Science, Fudan University, Shanghai, China · Institute of Big Data, Fudan University, Shanghai, China +1