Anomaly Detection

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Period ending 2026-09-21

13 new papers

A weekly snapshot of new work published in Anomaly Detection.

Period ending 2026-09-14

10 new papers

A weekly snapshot of new work published in Anomaly Detection.

Period ending 2026-09-07

16 new papers

A weekly snapshot of new work published in Anomaly Detection.

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  1. An Explainable GNN Framework for Component-Level Anomaly Diagnosis

    Aug 10, 2026Sena Ozgunay, Louise Trav{é}-Massuy{è}s, Jean-Michel Loubes +1Anomaly DetectionFault Diagnosis

  2. Federated Attention Autoencoders with a Stochastic Aggregation Scheme for Anomaly Detection

    Aug 9, 2026Mihailo Ilić, Miloš Savić, Vladimir Kurbalija +3Reconstruction-Based Anomaly DetectionFederated Learning

  3. Agentic Anomaly Detection with ORCA-Style Dynamic Inductive Bias Adaptation in Multimodal Wearable Time Series Data

    Aug 9, 2026Anushka Roy, Jyotirmoy Singh, Shreea Bose +1Time-Series Anomaly DetectionAnomaly Detection

  4. Open-World Semantic Segmentation with Sensitivity Modeling

    Aug 8, 2026Anastasios Romanos Varvarigos, Nikos Giakoumoglou, Tania StathakiDense Semantic SegmentationOpen-Set Recognition

  5. VTO: Visual Tool Orchestration for Video Anomaly Detection

    Aug 8, 2026Rui Wang, Yeteng Wu, Xianling Zhang +1Video Anomaly UnderstandingFine-Grained Video Understanding

  6. LIBAD: A Multimodal Anomaly Detection Benchmark for Li-Ion Battery Electrode Manufacturing

    Aug 8, 2026Wenbo Sui, Daniel Lichau, Harold Phelippeau +1Zero-Shot Anomaly DetectionLithium-Ion Batteries

  7. DeCo: Zero-Shot Industrial Anomaly Generation through Decoupling and Recoupling

    Aug 8, 2026Shilei Zeng, Xurui Li, Yaohan Tang +1Zero-Shot Anomaly DetectionDecoupling

  8. UniScale: Arbitrary-Scale Industrial Anomaly Generation

    Aug 8, 2026Shilei Zeng, Linxin Guan, Xurui Li +2Zero-Shot Anomaly DetectionAnomalous Frame Detection

  9. From Benchmark Performance to Tool Deployment: Human-in-the-Loop Anomaly Detection

    Aug 7, 2026Mike Szklarzewski, CJ George, Gavin Smithson +10Zero-Shot Anomaly DetectionAnomaly Detection

  10. Glance, Scrutinize, and Think: Advancing Video Anomaly Detection from Training-Free to Agentic Reasoning

    Aug 7, 2026Shibo Gao, Peipei Yang, Xu-Yao Zhang +1Video Anomaly UnderstandingFine-Grained Video Understanding

  11. MuST-VAD: Mutual Structured Learning for Video Anomaly Detection

    Aug 7, 2026Satoshi Hashimoto, Hitoshi Nishimura, Mori KurokawaVideo Anomaly UnderstandingVision-Language Model Adaptation

  12. FedVAR: Prototype-Aligned Federated Framework for Video Anomaly Recognition

    Aug 7, 2026Ghani Haider, Majid Kundroo, Boyun Eom +3Video Anomaly UnderstandingFederated Learning

  13. ConceptADapt: Concept-guided Adaptive Feature Reconstruction with Dynamic Attention for Few-Shot Industrial Anomaly Detection

    Aug 6, 2026Yufei Li, Yicheng Ruan, Long Tian +2Zero-Shot Anomaly DetectionFew-Shot Learning

  14. TAU-Bench: From Anomaly Instance Tracking to Fine-Grained Video Anomaly Understanding

    Aug 6, 2026Kepeng Yang, Dongxuan Liu, Rongxin Gao +8Video Anomaly UnderstandingFine-Grained Video Understanding

  15. Grounded Well-Condition Anomaly Detection on the Volve Field: Constructed Labels, a Baseline, and a Dual-Head Model

    Aug 6, 2026Gospel Bassey, Samuel Bassey, Vincent FakiyesiAnomalous Frame DetectionAnomaly Detection

  16. Enhancing Anomaly Resilience in Research Networks: A Large-Scale Forecasting Benchmark for Dynamic Security Baselining

    Aug 6, 2026Mohammad Arafath Uddin Shariff, Byrav RamamurthyAnomaly DetectionAccurate Traffic Forecasting

  17. Behavioral Residualization for Unsupervised Intrusion Detection in Automotive CAN Networks

    Aug 6, 2026Chandan Hegde, Mukundh R ReddyIntrusion DetectionReconstruction-Based Anomaly Detection

  18. VQ-VAD: Vector-quantized Motion Representation Learning for Human-centric Video Anomaly Detection

    Aug 5, 2026Narges Rashvand, Ghazal Alinezhad Noghre, Shanle Yao +2Video Anomaly UnderstandingAnomaly Detection

  19. Attention, Anomalies! Handling Attention Layers in Unsupervised Federated Outlier Detection

    Aug 5, 2026Mihailo Ilić, Miloš Savić, Vladimir Kurbalija +3Federated LearningReconstruction-Based Anomaly Detection

  20. Why Ranking Anomaly Detection Algorithms Isn't as Reliable as You May Think

    Aug 5, 2026Simon Klüttermann, Jérôme Rutinowski, Frederik Polachowski +1Anomaly DetectionBenchmark Datasets

  21. PADFormer: Pose-agnostic Anomaly Detection from Sparse View Images

    Aug 4, 2026Ruiqi Wang, Yiming Qian, Fenggen Yu +4Anomaly DetectionMulti-View

  22. PRISM: Powerful Time Series to Image (TS2I) Representations for Multivariate Anomaly Detection

    Aug 4, 2026Mateusz Smendowski, Kamil Faber, Piotr Nawrocki +2Time-Series Anomaly DetectionTime Series

  23. FBID: Adaptive Personalized Federated Learning for Robust Out-of-Distribution Attack Detection in IoT Networks

    Aug 4, 2026An Khanh Bui, Cong Thanh Nguyen, Hoang-Anh Pham +2Intrusion DetectionFederated Learning

  24. AgenticVAU: Multi-Agent Explore-Verify Reasoning for Video Anomaly Understanding

    Aug 4, 2026Yuxiang Duan, Huining Li, Ao Li +6Video Anomaly UnderstandingFine-Grained Video Understanding

  25. Keep the Needle, Prune the Haystack: Defect-Preserving Token Pruning for Efficient Zero-Shot Anomaly Detection

    Aug 4, 2026Yanning Hou, Jingyuan Zhang, Xiaoyun Wang +3Zero-Shot Anomaly DetectionAnomalous Frame Detection

  26. TimeRLM: Recursive Language Models Enable Precise Anomaly Localization in Long-Context Time-Series

    Aug 4, 2026Nicolas Zumarraga, Lorenzo Steno, Ning Wang +9Time-Series Anomaly DetectionAnomalous Frame Detection

  27. SynEnergy: Anomaly Semantic-Guided Diffusion for Synthetic Energy Data Generation

    Aug 4, 2026Lin Jiang, Dahai Yu, Ravikumar Gelli +1Synthetic DataAnomalous Frame Detection

  28. An Explainable LLM Agent Layer for Open-World Anomaly Detection in Oil Wells

    Aug 4, 2026Lucas Gouveia Omena Lopes, Thales Miranda de Almeida Vieira, Eduardo Toledo de Lima Junior +1Anomaly DetectionVideo Anomaly Understanding

  29. Evading Chain-of-Thought Monitoring Through Model Poisoning

    Aug 3, 2026Giorgio Severi, Shujaat Mirza, Blake Bullwinkel +1Reasoning TracesBackdoor Attacks

  30. CARE: A Cascaded Framework for Efficient and Reliable Time Series Anomaly Detection

    Aug 3, 2026Zemin Chao, Qianhui Xu, Jianhe Cen +3Time-Series Anomaly DetectionAnomaly Detection

  31. ReFP-AD: Rectified Flow Preconditioning for Energy-Based Anomaly Detection

    Aug 3, 2026Camile Lendering, Erkut Akdag, Joaquín Figueira +1Reconstruction-Based Anomaly DetectionAnomaly Detection

  32. ARM: Detector-Agnostic Changepoint Attribution with Finite-Sample Error Control

    Aug 3, 2026Chenchen Peng, Mixia Wu, Qijing Yan +2Change-Point DetectionFalse Discovery Rate

  33. Understanding and Overcoming Cross-modal Fusion Bias in Multimodal Anomaly Detection From A Fisher Information Perspective

    Aug 2, 2026Kaifang Long, Lianbo Ma, Liming Liu +1Cross-Modal FusionZero-Shot Anomaly Detection

  34. FreqAnchorAD: Language-Free Zero-Shot Anomaly Detection via Frequency-Deviation Anchoring

    Aug 1, 2026Jianfeng Qiu, Peiyuan Li, Juan Xie +4Zero-Shot Anomaly DetectionFrequency

  35. Beyond Static Anchors: Bounded Prototype Conditioning for Language-Free Medical Anomaly Detection

    Aug 1, 2026Yibo Wan, Jinyu Cai, See-kiong NgZero-Shot Anomaly DetectionMedical Imaging

  36. OrEdge: Efficient Multi-Modal Anomaly Detection in Distributed Software Systems via Orthogonal-Domain Learning

    Jul 31, 2026Amr M. Zaki, Farhoud Jafari Kaleibar, Honggeun Ji +2Anomaly DetectionZero-Shot Anomaly Detection

  37. OSAGEN: Object-Aware Mask Priors and Multistage Decoupled Diffusion for Industrial Anomaly Generation

    Jul 31, 2026Jinyi Xu, Peng Chen, Yunkang Cao +3Zero-Shot Anomaly DetectionMasked Diffusion Language Models

  38. Exploring Block Anomaly Detection In HDFS Log Data Analysis

    Jul 31, 2026WenYang Zhong, Tutut HerawanAnomaly DetectionAnomaly

  39. VFAD: Variational Semantic Prompting Meets Frequency-Adaptive Representation Learning for Zero-Shot Anomaly Detection

    Jul 31, 2026Peng Chen, Kaige Li, Wei Wang +5Zero-Shot Anomaly DetectionAnomaly

  40. Simulative Anomaly Detection using 2D Tomography

    Jul 30, 2026Moti Ben-Harush, Nimrod Teneh, Gregory LukovskyTomographyAnomaly

  41. CORE: In-Context Reconstruction for Unified Tabular Anomaly Detection

    Jul 30, 2026Yunfeng Zhao, Qingfeng Chen, Yue Tan +4Reconstruction-Based Anomaly DetectionAnomaly Detection

  42. INCLAIR: Inception-Based Longitudinal Clinical Anomaly Detection with Informed Reasoning

    Jul 29, 2026Maxx Richard Rahman, Wolfgang MaassAnomalous Frame DetectionLongitudinal Patient Records

  43. Early Failure Prediction from Near-Anomaly Detection: A Proactive Approach

    Jul 29, 2026L{é}a Billet, Louise Trav{é}-Massuy{è}s, Elodie Chanthery +1Anomaly DetectionAnomalous Frame Detection

  44. Evaluating VLMs for Autonomous Agent-Driven Geometry Clipping Detection in Video Game QA

    Jul 28, 2026Carlos Celemin, Benedict Wilkins, Adrián Barahona-Ríos +2Large Vision Language ModelsVideo Anomaly Understanding

  45. Group Equivariant Diffusion for Anomaly Detection in Computational Cytology

    Jul 28, 2026Swarnadip Chatterjee, Ssharvien Kumar Sivakumar, Anirban MukhopadhyayComputational PathologyAnomaly Score

  46. Robust Unsupervised Network Intrusion Detection via Federated Learning with Selective Aggregation under Anomalous Sample Contamination

    Jul 28, 2026Shohei Kamiguchi, Takayuki NishioReconstruction-Based Anomaly DetectionIntrusion Detection

  47. ANFI: Rethinking Neighbor Feature Interaction in Person Re-ID

    Jul 28, 2026Xulin Li, Yan Lu, Bin Liu +5Re-IdentificationNeighbors

  48. Localized Anomaly Detection via Differentiable D-vine Copulas

    Jul 27, 2026Nicholas Andrea Pearson, Francesca Zanello, Davide Russo +2Anomaly DetectionGaussian Copula

  49. DuoAD: Leveraging [CLS] Dual Characteristics for Training-Free Few-Shot Anomaly Detection

    Jul 27, 2026Jyun-Ze Tang, Po-Han Huang, Ming-Ching Chang +2Anomaly DetectionVision Transformer

  50. Embeddings based Anomaly Detection for Cleaning Global Crop Type Reference Datasets

    Jul 27, 2026Syed Roshaan Ali Shah, Kristof Van Tricht, Christina Butsko +2CropAnomaly Detection

  51. XMatchAD: A Cross-Modal Matching Perspective on Reconstruction-based Anomaly Detection

    Jul 26, 2026Mingxiu Cai, Zhe Zhang, Gaochang Wu +1Reconstruction-Based Anomaly DetectionAnomaly Detection

  52. Domain-Prior-Regularized Graph Modeling for Anomaly Detection in Cyber-Physical Systems

    Jul 25, 2026Youngseok Hwang, Joonsung Kwon, Geonwoo Lee +1Generalist Graph Anomaly DetectionAnomaly Detection

  53. Micro-Segmentation Anomaly Detection in Zero-Trust Software-Defined Network Fabrics

    Jul 24, 2026Ashly JosephIntrusion DetectionAnomaly Detection

  54. Disentangling Multi-View Scanning in Mamba for Network Traffic Anomaly Detection

    Jul 24, 2026Xinglin Lian, Chengtai Cao, Ting Zhong +1Bidirectional MambaAnomaly Detection

  55. Agentic Root Cause Analysis through Evidence-Grounded Reasoning

    Jul 24, 2026Amaury Wei, Olga FinkRoot Cause AnalysisZero-Shot Anomaly Detection

  56. An Insight on Evaluation Metrics Under the Imbalanced Case of Anomaly Detection

    Jul 24, 2026Romain Hermary, Nesryne Mejri, Djamila AouadaAnomaly ScoreAnomaly Detection

  57. Optimizing Transformer Neural Network for Real-Time Outlier Detection on FPGAs

    Jul 24, 2026Ilia Sobakinskikh, Paul Alexander BilokonTime-Series Anomaly DetectionHybrid Transformer

  58. Deep Convolutional Large-Margin ℓp\ell_p-SVDD for Visual Anomaly Detection

    Jul 24, 2026Alireza Dastmalchi Saei, Shervin Rahimzadeh ArashlooReconstruction-Based Anomaly DetectionAnomaly Detection

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

    Jul 23, 2026T. Ansah-Narh, Y. Asare AfraneMalariaAnomaly

  60. AI-generated Images Challenge Visual Trust in High-risk Scenarios

    Jul 23, 2026Yi-Zhi Wang, Yichen Xiao, Linan Yue +5Ai-Generated Image DetectionImage Generation