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. Detecting Multi-Agent Collusion Through Multi-Agent Interpretability

    Apr 1, 2026Aaron Rose, Carissa Cullen, Sahar Abdelnabi +3AI Agent Security BenchmarksMulti-Agent System Security

    University of Oxford · ELLIS Institute Tübingen MPI-IS

  2. ECoLAD: Selecting Anomaly Detectors for Automotive Deployment via Compute-Reduction Evaluation

    Mar 11, 2026Kadir-Kaan Özer, René Ebeling, Markus EnzweilerEfficient Neural Network InferenceAutomated Evaluation

    Mercedes-Benz AG, Germany. · Esslingen University of Applied Sciences, Germany.

  3. Temporal Pooling Strategies for Training-Free Anomalous Sound Detection with Self-Supervised Audio Embeddings

    Mar 4, 2026Kevin Wilkinghoff, Sarthak Yadav, Zheng-Hua TanAnomaly Detection

    Department of Electronic Systems, Aalborg University, Aalborg, Denmark · Pioneer Centre for Artificial Intelligence, Denmark

  4. Allure of Craquelure: A Variational-Generative Approach to Crack Detection in Paintings

    Feb 10, 2026Laura Paul, Holger Rauhut, Martin Burger +2Crack SegmentationImage Inverse Problems

    Dept. of Mathematics, LMU Munich, Germany · Munich Center for Machine Learning, Germany · Helmholtz Imaging, Deutsches Elektronen-Synchrotron DESY, Germany +2

  5. When Actions Go Off-Task: Detecting and Correcting Misaligned Actions in Computer-Use Agents

    Feb 9, 2026Yuting Ning, Jaylen Jones, Zhehao Zhang +5LLM Self-CorrectionComputer-Use Agents

    The Ohio State University · Amazon AGI

  6. Auditing Frozen-Encoder Anomaly Detection Across Mechanical Systems: Representation Provenance, Calibration, and Protocol Effects

    Jan 16, 2026Jose Sánchez AndreuMahalanobis DistanceIndustrial Anomaly Detection

    Independent Researcher, Murcia, Spain

  7. A Hybrid Insider Threat Detection Framework Combining Multi-Agent Simulation, Layered SIEM Correlation, and Theory-of-Mind Reasoning

    Jan 6, 2026Firdous Kausar, Asmah Muallem, Naw Safrin Sattar +1CybersecurityAnomaly Detection

    Department of Computer Science and Data Science SACS, Meharry Medical College Nashville, USA

  8. Digital Twin-Driven Communication-Efficient Federated Anomaly Detection for Industrial IoT

    Jan 5, 2026Mohammed Ayalew Belay, Adil Rasheed, Pierluigi Salvo RossiCommunication-Efficient Distributed TrainingIndustrial Anomaly Detection

    Department of Electronic Systems, Norwegian University of Science and Technology, 7034 Trondheim, Norway

  9. Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection

    Dec 17, 2025Konstantinos Kalogiannis, Ahmed Mohamed Hussain, Hexu Li +1TransformerIntelligent Transportation Systems

    Networked Systems Security (NSS) Group, KTH Royal Institute of Technology, Stockholm, Sweden · Tech Validation – AI department at the Chief Technology Officer (CTO) Organization, Lenovo, Beijing, China

  10. PA-VAD: Diffusion-Based Pseudo-Only Video Anomaly Detection via Domain-Aligned Memory Updates

    Dec 7, 2025Satoshi Hashimoto, Yanan Wang, Hitoshi Nishimura +1Video Anomaly DetectionSynthetic Anomaly Generation

    KDDI Research, Inc., Fujimino, Saitama, Japan

  11. Sparse, self-organizing ensembles of local kernels detect rare statistical anomalies

    Nov 5, 2025Gaia Grosso, Sai Sumedh R. Hindupur, Thomas Fel +3Kernel MethodsStatistical Learning Theory

    NSF AI Institute for Artificial Intelligence and Fundamental Interactions, Cambridge, 02139, MA · Laboratory for Nuclear Science, Massachusetts Institute of Technology, Cambridge, 02139, MA · School of Engineering and Applied Sciences, Harvard University, Allston, 02134, MA +1

  12. Isolation-based Spherical Ensemble Representations for Tabular Anomaly Detection

    Oct 15, 2025Yang Cao, Sikun Yang, Hao Tian +5Tabular Anomaly DetectionIsolation Forest

    Tsinghua Shenzhen International Graduate School, Tsinghua University, China · School of Computing and Information Technology, Great Bay University, China · School of Compuer Science, Nanjing University, China +3

  13. Adversarial Stress Testing of Outlier Detection in Subjective Image Quality Assessment

    Sep 8, 2025Dietmar SaupeAnomaly DetectionImage Quality Assessment

    Department of Computer and Information Science, University of Konstanz, Konstanz, Germany

  14. AD-FM: Multimodal LLMs for Anomaly Detection via Multi-Stage Reasoning and Fine-Grained Reward Optimization

    Aug 6, 2025Jingyi Liao, Yongyi Su, Rong-Cheng Tu +6VLM AdaptationIndustrial Anomaly Detection

    1Nanyang Technological University · Institute for Infocomm Research (I2R), A*STAR · 3South China University of Technology

  15. Pose-Based Fall Detection System: Efficient Monitoring on Standard CPUs

    Mar 25, 2025Vinayak Mali, Saurabh JaiswalFall DetectionHuman Activity Recognition

    Department of Artificial Intelligence Indian Institue of Technology Kharagpur

  16. FedNIA: Noise-Induced Activation Analysis for Mitigating Data Poisoning in Federated Learning

    Feb 23, 2025Ehsan Hallaji, Roozbeh Razavi-Far, Mehrdad SaifData Poisoning AttacksFederated Learning

    Department of Electrical and Computer Engineering, University of Windsor, Windsor ON, Canada · Faculty of Computer Science, University of New Brunswick, Fredericton NB, Canada

  17. Tuned Reverse Distillation: Enhancing Multimodal Industrial Anomaly Detection with Crossmodal Tuners

    Dec 12, 2024Xinyue Liu, Jianyuan Wang, Biao Leng +1Cross-Modal Knowledge DistillationIndustrial Anomaly Detection

    School of Computer Science and Engineering, Beihang University, Beijing 100191, China · Key Laboratory of Intelligent Bionic Unmanned Systems, Ministry of Education, and the School of Artificial Intelligence, University of Science and Technology Beijing, Beijing 100083, China · School of Computer Science and Technology, Beijing Jiaotong University, Beijing 100044, China

  18. Monotonic anomaly detection

    Oct 30, 2024Oliver Urs Lenz, Matthijs van LeeuwenIsolation ForestAnomaly Detection

    Department of Statistics, Data Science and Modelling, National Institute for Public Health and the Environment, The Netherlands · Leiden Institute of Advanced Computer Science, Leiden University · Department of Applied Mathematics, Computer Science and Statistics, Ghent University

  19. Deep Positive-Unlabeled Anomaly Detection for Contaminated Unlabeled Data

    May 29, 2024Hiroshi Takahashi, Tomoharu Iwata, Atsutoshi Kumagai +1Weakly Supervised LearningPositive-Unlabeled Learning

    NTT