Financial Fraud Detection

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9 papers in the last four weeks, up 200% on the four weeks before. 0.1% of all new papers.

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  1. Graph-Driven Cross-Industry Real-Time Monitoring Framework for Anti-Money Laundering Detection in Converged Mobility-Energy Supply Chain Networks

    May 13, 2026Rong Liu, Xiaojun Xiao, Zhanqing SuTemporal GNNsHeterogeneous GNNs

    Sol Price School of Public Policy, University of Southern California, Los Angeles, USA · Boston University, Boston, USA · Johns Hopkins University, Washington, USA

  2. Graph-Based Financial Fraud Detection with Calibrated Risk Scoring and Structural Regularization

    May 12, 2026Yunfei Nie, Jiawei Wang, Ruobing Yan +3Graph Neural NetworksGraph Representation Learning

    Brandeis University, Waltham, USA · University of California, Los Angeles, USA · Georgetown University, Washington, D.C., USA +2

  3. Rethinking LLMOps for Fraud and AML: Building a Compliance-Grade LLM Serving Stack

    May 11, 2026Prathamesh Vasudeo Naik, Naresh Dintakurthi, Yue WangLLM ServingFinancial Fraud Detection

  4. PumpSense: Real-Time Detection and Target Extraction of Crypto Pump-and-Dumps on Telegram

    May 10, 2026Ahmed Mahrous, Roberto Di PietroSocial Media AnalysisNamed Entity Recognition

    King Abdullah University of Science and Technology (KAUST) · Thuwal, Saudi Arabia

  5. ORACLE: Anticipating Scams from Partial Trajectories in Streaming App Usage

    May 9, 2026Wenbo Gao, Songbai Tan, Zhongan Wang +6Online Anomaly DetectionFinancial Fraud Detection

    Harbin Institute of Technology, Shenzhen · Shenzhen University · Zhejiang University +4

  6. FraudBench: A Multimodal Benchmark for Detecting AI-Generated Fraudulent Refund Evidence

    May 9, 2026Xinyu Yan, Boyang Chen, Jiaming Zhang +12Image Forgery DetectionDigital Image Forensics

    College of Computing and Data Science, Nanyang Technological University · Alibaba-NTU Global e-Sustainability CorpLab (ANGEL) · Alibaba Group

  7. Fraud Detection in Cryptocurrency Markets with Spatio-Temporal Graph Neural Networks

    Apr 27, 2026Lidia Losavio, Luca Persia, Madan Sathe +1Financial Fraud DetectionSpatiotemporal GNNs

    Faculty of Informatics, Universit`a della Svizzera italiana, Lugano, Switzerland · School of Management and Law, Zurich University of Applied Sciences, Zurich, Switzerland · Forensics and Financial Crime, Deloitte AG, Switzerland

  8. Do Transaction-Level and Actor-Level AML Queues Agree? An Empirical Evaluation of Granularity Effects on the Elliptic++ Graph

    Apr 26, 2026Ankur MalikFinancial Fraud DetectionFinance

    Hudson Data, New York, NY, USA

  9. Scalable and Verifiable Federated Learning for Cross-Institution Financial Fraud Detection

    Apr 25, 2026Prajwal Panth, Nishant NigamFederated Learning AggregationCommunication-Efficient Distributed Training

    School of Computer Engineering, KIIT Deemed to be University, Bhubaneswar, India · School of Electronics Engineering, KIIT Deemed to be University, Bhubaneswar, India

  10. Who Audits the Auditor? Tamper-Proof Fraud Detection with Blockchain-Anchored Explainable ML

    Apr 23, 2026Zhaohui WangData ProvenanceAlgorithmic Auditing

    Viterbi School of Engineering University of Southern California Los Angeles, CA, USA

  11. TRAVELFRAUDBENCH: A Configurable Evaluation Framework for GNN Fraud Ring Detection in Travel Networks

    Apr 22, 2026Bhavana SajjaHeterogeneous GNNsFinancial Fraud Detection

  12. Large Language Models Outperform Humans in Fraud Detection and Resistance to Motivated Investor Pressure

    Apr 22, 2026Nattavudh PowdthaveeFinancial Fraud DetectionLLM Decision-Making

    Nanyang Technological University

  13. When Graph Structure Becomes a Liability: A Critical Re-Evaluation of Graph Neural Networks for Bitcoin Fraud Detection under Temporal Distribution Shift

    Apr 21, 2026Saket MagantiGraph Neural NetworksDistribution Shift

  14. TransXion: A High-Fidelity Graph Benchmark for Realistic Anti-Money Laundering

    Apr 19, 2026Keyang Chen, Mingxuan Jiang, Yongsheng Zhao +9Financial Fraud DetectionSynthetic Benchmark Generation

    Fudan University · Peking University

  15. Bridging Cognitive Neuroscience and Graph Intelligence: Hippocampus-Inspired Multi-View Hypergraph Learning for Web Finance Fraud

    Jan 16, 2026Rongkun Cui, Nana Zhang, Kun Zhu +1Long-Tail LearningMulti-View Learning

    School of Computer Science and Technology, Tongji University Shanghai, China · School of Computer Science and Technology, Donghua University Shanghai, China

  16. Fraud is Not Just Rarity: A Causal Prototype Attention Approach to Realistic Synthetic Oversampling

    Jul 19, 2025Claudio Giusti, Luca Guarnera, Mirko Casu +1Class-Imbalanced LearningSynthetic Data Augmentation

    Department of Mathematics and Computer Science University of Catania Catania, CT 95125