Anomaly Detection

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Period ending 2026-09-21

13 new papers

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Period ending 2026-09-14

10 new papers

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Period ending 2026-09-07

16 new papers

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  1. Self-Supervised ConvLSTM for Fermi Large Area Telescope Transient Detection

    May 21, 2026Alberto Garinei, Stefano Speziali, Alessandro Vispa +11Spatiotemporal RepresentationsTransients

  2. Bounding-Box Trajectories Matter for Video Anomaly Detection

    May 21, 2026Inpyo Song, Jangwon LeeVideo Anomaly UnderstandingTrajectory Prediction

  3. NeighborDiv: Training-free Zero-shot Generalist Graph Anomaly Detection via Neighbor Diversity

    May 20, 2026Kaifeng Wei, Teng Liu, Liang Dong +2Generalist Graph Anomaly DetectionAnomalous Frame Detection

  4. IndusAgent: Reinforcing Open-Vocabulary Industrial Anomaly Detection with Agentic Tools

    May 20, 2026Rongbin Tan, Fangfang Lin, Zhenlong Yuan +10Zero-Shot Anomaly DetectionOpen-Vocabulary Object Detection

  5. Latent Geometry as a Structural Monitor: Eigenspace Alignment for Anomaly Detection in Anonymity Networks

    May 19, 2026Vaibhav ChhabraAnomaly DetectionAttack Detection

  6. SAGE: Scalable Automatic Gating Ensemble for Confident Negative Harvesting in Fraud Detection

    May 19, 2026Sudheer Tubati, Amit GoyalFraud DetectionReconstruction-Based Anomaly Detection

  7. CAMERA: Adapting to Semantic Camouflage in Unsupervised Text-Attributed Graph Fraud Detection

    May 19, 2026Junjun Pan, Yixin Liu, Yu Zheng +3Fraud DetectionGeneralist Graph Anomaly Detection

  8. TERGAD: Structure-Aware Text-Enhanced Representations for Graph Anomaly Detection

    May 19, 2026Wen Shi, Zhe Wang, Huafei Huang +6Generalist Graph Anomaly DetectionCode Property Graphs

  9. UTOPYA: A Multimodal Deep Learning Framework for Physics-Informed Anomaly Detection and Time-Series Prediction

    May 18, 2026Robson W. S. Pessoa, Julien Amblard, Alessandra Russo +1Anomaly DetectionMultivariate Forecasting

  10. POST: Prior-Observation Adversarial Learning of Spatio-Temporal Associations for Multivariate Time Series Anomaly Detection

    May 18, 2026Suofei Zhang, Yaxuan Zheng, Haifeng HuTime-Series Anomaly DetectionAnomaly Detection

  11. Few-Shot Network Intrusion Detection Using Online Triplet Mining

    May 17, 2026Jack Wilkie, Hanan Hindy, Christos Tachtatzis +2Intrusion DetectionAnomaly Detection

  12. Latency-Aware Deep Learning Benchmark for Real-Time Cyber-Physical Attack and Fault Classification in Inverter-Dominated Power Grids

    May 17, 2026Emad Abukhousa, Saman Zonouz, A. P. Sakis MeliopoulosSmart GridsAttack Detection

  13. Filter-then-Verify: A Multiphase GNN and ModernBERT Framework for Social Engineering Detection in Email Networks

    May 17, 2026Barsat Khadka, Prasant Koirala, Kshitiz Neupane +1PhishingAttack Detection

  14. CAM-VFD: Cross-Attention Multimodal Video Forgery Detection

    May 16, 2026Hoda Osama Elkhodary, Sherin Mostafa Youssef, Marwa Elshenawy +1Explainable Deepfake DetectionDeepfake Detection

  15. OmniVL-Guard Pro: A Tool-Augmented Agent for Omnibus Vision-Language Forensics

    May 16, 2026Jinjie Shen, Zheng Huang, Yuchen Zhang +7Face Forgery DetectionDigital Forensics

  16. Res2^2CLIP: Few-Shot Generalist Anomaly Detection with Residual-to-Residual Alignment

    May 15, 2026Xinyue Liu, Jianyuan Wang, Biao Leng +1Zero-Shot Anomaly DetectionAnomaly Detection

  17. Ti-iLSTM: A TinyDL Approach for Logic-Level Anomaly Detection in Industrial Water Treatment Systems

    May 15, 2026Mandar Joshi, Farzana Zahid, Judy Bowen +3Anomaly DetectionDeep Learning

  18. Parameter Efficient Multi-Class Intelligent Scheduling for Multimodal Online Distributed Industrial Anomaly Detection

    May 15, 2026Heqiang Wang, Weihong Yang, Zheyuan Yang +4Zero-Shot Anomaly DetectionAnomaly Detection

  19. COPRA: Conditional Parameter Adaptation with Reinforcement Learning for Video Anomaly Detection

    May 14, 2026Darryl Cherian Jacob, Xinyu Liu, Kai Wang +1Video Anomaly UnderstandingVision-Language Model Adaptation

  20. From Data to Action: Accelerating Refinery Optimization with AI

    May 14, 2026Dániel Pfeifer, Ábrahám Papp, Tibor Bernáth +4Mixed-Integer ProgrammingLlm-Based Optimization Modeling

  21. LATERN: Test-Time Context-Aware Explainable Video Anomaly Detection

    May 14, 2026Mitchell Piehl, Muchao YeVideo Anomaly UnderstandingAnomaly Score

  22. SuperADD: Training-free Class-agnostic Anomaly Segmentation -- CVPR 2026 VAND 4.0 Workshop Challenge Industrial Track

    May 14, 2026Lukas Roming, Felix Lehnerer, Jonas V. Funk +4Zero-Shot Anomaly DetectionAnomaly Detection

  23. Uncertainty-Driven Anomaly Detection for Psychotic Relapse Using Smartwatches: Forecasting and Multi-Task Learning Fusion

    May 13, 2026Nikolaos Tsalkitzis, Panagiotis P. Filntisis, Petros Maragos +1Anomaly DetectionWearable Devices

  24. Weakly-Supervised Spatiotemporal Anomaly Detection

    May 13, 2026Urvi Gianchandani, Praveen Tirupattur, Mubarak ShahVideo Anomaly UnderstandingAnomaly Detection

  25. Conformal Anomaly Detection in Python: Moving Beyond Heuristic Thresholds with 'nonconform'

    May 13, 2026Oliver Hennhöfer, Maximilian Kirsch, Christine PreisachAnomaly ScoreAnomaly Detection

  26. What Information Matters? Graph Out-of-Distribution Detection via Tri-Component Information Decomposition

    May 13, 2026Danny Wang, Ruihong Qiu, Zi HuangOut-Of-Distribution DetectionGeneralist Graph Anomaly Detection

  27. Is Video Anomaly Detection Misframed? Evidence from LLM-Based and Multi-Scene Models

    May 12, 2026Furkan Mumcu, Michael J. Jones, Anoop Cherian +1Video Anomaly UnderstandingAnomaly Detection

  28. Anomaly-Aware Vision-Language Adapters for Zero-Shot Anomaly Detection

    May 12, 2026Muhammad Aqeel, Maham Nazir, Uzair Khan +2Zero-Shot Anomaly DetectionVision-Language Model Adaptation

  29. Learning Feature Encoder with Synthetic Anomalies for Weakly Supervised Graph Anomaly Detection

    May 12, 2026Yingjie Zhou, Yuqin Xie, Fanxing Liu +3Generalist Graph Anomaly DetectionGraph Representation Learning

  30. CaC: Advancing Video Reward Models via Hierarchical Spatiotemporal Concentrating

    May 12, 2026Jiyuan Wang, Huan Ouyang, Jiuzhou Lin +15Video Anomaly UnderstandingConcentration

  31. FedSurrogate: Backdoor Defense in Federated Learning via Layer Criticality and Surrogate Replacement

    May 11, 2026Fatima Z. Abacha, Sin G. Teo, Yuanxiang Wu +2Federated LearningBackdoor Attacks

  32. Conditional anomaly detection methods for patient-management alert systems

    May 11, 2026Michal Valko, Gregory Cooper, Amy Seybert +3Anomaly DetectionReconstruction-Based Anomaly Detection

  33. MMVIAD: Multi-view Multi-task Video Understanding for Industrial Anomaly Detection

    May 11, 2026Xiran Zhao, Jing Jin, Yan Bai +6Zero-Shot Anomaly DetectionVideo Anomaly Understanding

  34. Hypergraph-Enhanced Training-Free and Language-Free Few-Shot Anomaly Detection

    May 11, 2026Guohuan Xie, Xin He, Dingying Fan +2Zero-Shot Anomaly DetectionFew-Shot Segmentation

  35. Automated Detection of Abnormalities in Zebrafish Development

    May 11, 2026Sarath Sivaprasad, Hui-Po Wang, Anna-Lisa Jäckel +4ToxicityAnomaly

  36. AnomalyClaw: A Universal Visual Anomaly Detection Agent via Tool-Grounded Refutation

    May 11, 2026Xi Jiang, Yinjie Zhao, Zesheng Yang +1Anomalous Frame DetectionLarge Vision Language Models

  37. Multi-Tier Labeling and Physics-Informed Learning for Orbital Anomaly Detection at Scale

    May 10, 2026Yong FuNear-Earth ObjectsAnomaly Detection

  38. Learning Unified Representations of Normalcy for Time Series Anomaly Detection

    May 10, 2026Prithul Sarker, Sushmita Sarker, Nicholas G. Murray +1Time-Series Anomaly DetectionAnomaly Detection

  39. FedCIGAR: A Personalized Reconstruction Approach for Federated Graph-level Anomaly Detection

    May 10, 2026Yunfeng Zhao, Yixin Liu, Qingfeng Chen +3Generalist Graph Anomaly DetectionFederated Graph Learning

  40. Detect, Localize, and Explain: Interactive Hierarchical Log Anomaly Analytics with LLM Augmentation

    May 9, 2026Lei Ma, Suhani Chaudhary, Ethan Shanbaum +5Anomaly DetectionLocalization Methods

  41. FactoryNet: A Large-Scale Dataset toward Industrial Time-Series Foundation Models

    May 9, 2026Karim Othman, Jonas Petersen, Matei Ignuta-Ciuncanu +5Zero-Shot Anomaly DetectionTime Series Foundation Models

  42. Transformer autoencoder with local attention for sparse and irregular time series with application on risk estimation

    May 9, 2026Panteleimon RodisTime-Series Anomaly DetectionTime Series

  43. Seeing the Needle in the Haystack: Towards Weakly-Supervised Log Instance Anomaly Localization via Counterfactual Perturbation

    May 9, 2026Yutszyuk Wong, Wentai Wu, Yuen-Ying Yeung +1Reconstruction-Based Anomaly DetectionAnomaly Detection

  44. Privacy-Aware Video Anomaly Detection through Orthogonal Subspace Projection

    May 9, 2026Lei Wang, Wenxiang Diao, Andrew Busch +2Video Anomaly UnderstandingAnomaly Detection

  45. Causal Stories from Sensor Traces: Auditing Epistemic Overreach in LLM-Generated Personal Sensing Explanations

    May 9, 2026Shanshan Zhu, Han Zhang, J. Doris Chi +2Epistemic StanceCausal Reasoning

  46. SphereVAD: Training-Free Video Anomaly Detection via Geodesic Inference on the Unit Hypersphere

    May 8, 2026Chao Huang, Penfei Wei, Wei Wang +5Video Anomaly UnderstandingFine-Grained Video Understanding

  47. On the Tradeoffs of On-Device Generative Models in Federated Predictive Maintenance Systems

    May 8, 2026Usevalad Milasheuski, Piero Baraldi, Enrico Zio +1Federated LearningPredictive Maintenance

  48. GRASP -- Graph-Based Anomaly Detection Through Self-Supervised Classification

    May 8, 2026Robin Buchta, Carsten Kleiner, Felix Heine +1Intrusion DetectionAnomaly Detection

  49. Fortifying Time Series: DTW-Certified Robust Anomaly Detection

    May 8, 2026Shijie Liu, Tansu Alpcan, Christopher Leckie +1Time-Series Anomaly DetectionTime Series

  50. GESR: Graph-Based Edge Semantic Reconstruction for Stealthy Communication Detection with Benign-Only Training

    May 8, 2026Henghui Xu, Yuchen Zhang, Xiaobo MaGeneralist Graph Anomaly DetectionIntrusion Detection

  51. GAD in the Wild: Benchmarking Graph Anomaly Detection under Realistic Deployment Challenges

    May 8, 2026Jingjing Zhou, Shiyu Huang, Qing Qing +7Generalist Graph Anomaly DetectionGraph Representations

  52. Kurtosis-Guided Denoising Score Matching for Tabular Anomaly Detection

    May 7, 2026Victor Livernoche, Jie Zan, Reihaneh RabbanyAnomaly DetectionUnsupervised

  53. CLAD: A Clustered Label-Agnostic Federated Learning Framework for Joint Anomaly Detection and Attack Classification

    May 7, 2026Iason Ofeidis, Nikos Papadis, Randeep Bhatia +2Internet Of ThingIntrusion Detection

  54. Hallucination as an Anomaly: Dynamic Intervention via Probabilistic Circuits

    May 7, 2026Erik Nielsen, Elia Cunegatti, Marcus Vukojevic +1Large Language Model HallucinationHallucination Mitigation

  55. Detecting AI-Generated Videos with Spiking Neural Networks

    May 7, 2026Minsuk Jang, Yujin Yang, Heeseon Kim +3High-Fidelity Video GenerationAi-Generated Image Detection

  56. MTL-MAD: Multi-Task Learners are Effective Medical Anomaly Detectors

    May 7, 2026Bogdan Alexandru Bercean, Florinel Alin Croitoru, Vlad Hondru +3Medical ImagingAnomaly

  57. Align3D-AD: Cross-Modal Feature Alignment and Dual-Prompt Learning for Zero-shot 3D Anomaly Detection

    May 7, 2026Letian Bai, Xuanming Cao, Juan Du +1Zero-Shot Anomaly Detection3D Object Understanding

  58. Detecting Time Series Anomalies Like an Expert: A Multi-Agent LLM Framework with Specialized Analyzers

    May 7, 2026Hyeongwon Kang, Jeongseob Kim, Jinwoo Park +1Time-Series Anomaly DetectionAnomaly Detection

  59. Two Steps Are All You Need: Efficient 3D Point Cloud Anomaly Detection with Consistency Models

    May 6, 2026Pranav A, Shashank B, Pranav Siddappa +3Point Cloud Data3D Object Detection

  60. LoViF 2026 The First Challenge on Holistic Quality Assessment for 4D World Model (PhyScore)

    May 6, 2026Wei Luo, Yiting Lu, Xin Li +32Large-Scale Video Generation ModelsVideo Quality