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. Semantic Pareto-DQN: A Multi-Objective Reinforcement Learning Framework for Financial Anomaly Detection

    Jul 10, 2026Cláudio Lúcio do Val Lopes, Lucca Machado da SilvaMulti-Objective Reinforcement LearningClass-Imbalanced Learning

    A3Data

  2. TSAI-MetaFraud: A Benchmark Dataset for Financial Fraud Transaction and Behavioral Risk Detection in Metaverse Ecosystems

    Jul 10, 2026Refat Ishrak Hemel, Ehsan Hallaji, Roozbeh Razavi-FarFinancial Fraud DetectionTemporal Link Prediction

    Trustworthy and Secure AI Lab (TSAI Lab), Faculty of Computer Science, University of New Brunswick, Canada

  3. A Clustering-Based Framework for Identifying Suspicious Trading Patterns in Capital Market

    Jul 5, 2026Asif Zaman, Romona Magdalene Sarkar, Sabiha Khair Ohi +1Financial Fraud DetectionUnsupervised Anomaly Detection

    Department of Computer Science & Engineering American International University-Bangladesh Dhaka,Bangladesh

  4. Interpretable vs Learned Encoders for High-Cardinality Fraud Detection

    Jul 1, 2026Xiao Han, Jingjing Liu, Moxuan Zheng +2Financial Fraud DetectionTabular ML

    Goizueta Business School Emory University Atlanta, GA, USA · Electrical Engineering and Computer Sciences University of California, Berkeley Kirkland, WA · Stern School of Business New York University New York, NY, USA +2

  5. Beyond Sparse Supervision: Diffusion-Guided Learning for Few-Shot Graph Fraud Detection

    Jun 26, 2026Liming Liu, Chao Hu, Mingfei Lu +3Graph Neural NetworksGraph SSL

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

  6. DG^VoiC: Speaker Clustering for Fraud Investigation under Real Call-Centre Conditions

    Jun 26, 2026Muhammad Shakeel Akram, Amal Htait, Abdul Hamid Sadka +2Speaker VerificationFinancial Fraud Detection

    Aston University · Birmingham,UK · Domestic & General +1

  7. Dialogue to Detection: A Multimodal Hybrid NLP Pipeline for Insurance Fraud Detection

    Jun 26, 2026Muhammad Shakeel Akram, Amal Htait, Abdul Hamid Sadka +2Financial Fraud Detection

    Aston University, Birmingham,UK. · Domestic & General, Wimbledon, UK.

  8. Clue-Guided Money Laundering Group Discovery

    Jun 24, 2026Boyang Wang, Jianing CaoFinancial Fraud Detection

    Department of Informatics, King’s College London, WC2B 4BG London, U.K. · School of Transportation, Southeast University, Nanjing, 211189, China

  9. Multi-Stream Temporal Fusion for Financial Fraud Detection

    Jun 23, 2026Mohammadamin Dashti Moghaddam, Nick SciarrilliTransformerFinancial Fraud Detection

    Amazon Web Services

  10. Poster: Exploring the Limits of Audio-Based Detection of Turkish Phone Call Scams

    Jun 23, 2026Arda Eren, Micheal Cheung, Youqian Zhang +2Audio-Language Model EvaluationFinancial Fraud Detection

    The Hong Kong Polytechnic University, Hong Kong · The Education University of Hong Kong, Hong Kong

  11. Quantum-Inspired Contextual Learning for Sparse-Ring Fraud Detection in Dynamic Transaction Graphs

    Jun 22, 2026Behnam Tonekaboni, Hiroshi YamauchiFinancial Fraud DetectionQuantum-Inspired ML

    1Infleqtion Australia, Melbourne · 2SoftBank Corp., Japan, Tokyo

  12. TMR-GGNN: Credit Card Fraud Detection based on Time-Aware Multi-Relational Guided Graph Neural Network

    Jun 16, 2026Rohit Tewari, Shubhankar Shilpi, Navin Chhibber +3Temporal GNNsHeterogeneous GNNs

    Unysis Fairfax, USA · Truist Banks Atlanta, USA · Infinity Tech Group Technical Product Owner Sunnyvale, USA +3

  13. An Autonomous AI Security Agent for Banking: Multi-Vector Fraud and AML Detection Across Retail and Corporate Accounts

    Jun 16, 2026Joseph Walusimbi, Joshua Benjamin SsentongoFinancial Fraud DetectionCybersecurity

    Department of Electronics and Computer Engineering, Soroti University, Soroti, Uganda

  14. Understanding Scam Trends and Rail Paths from Reddit Self-Disclosure Narratives

    Jun 15, 2026Yangjun Zhang, Mirko Bottarelli, Mark Hooper +1Financial Fraud Detection

    The Alan Turing Institute, London, UK

  15. Beyond Defensive Reporting: Machine Learning for Active Anti-Money Laundering Control in Insurance

    Jun 15, 2026Dara Goldar, Geir Kjetil Ferkingstad Sandve, Martin JullumFinancial Fraud Detection

    Fremtind Insurance · University of Oslo · Norwegian Computing Center

  16. FraudSMSWalker: Benchmarking Agentic Large Language Models for SMS-to-Webpage Fraud Detection

    Jun 15, 2026Y. H. Zhou, Z. M. Ma, Y. J. Zhou +12Web Agent BenchmarksLLM Agent Evaluation

  17. Validation-Stage Combinatorial Fusion Analysis for Imbalanced Credit-Card Fraud Detection

    Jun 9, 2026Xiao Han, Chenyu WuClass-Imbalanced LearningEnsemble Learning

    Goizueta Business School · Pratt School of Engineering

  18. SAGE: An LLM-driven Self Reflective Agentic Framework for Fraud Detection

    Jun 6, 2026Yichen Chen, Siying Li, Yuhang Liang +2Multi-Agent LLM SystemsFinancial Fraud Detection

    National University of Singapore · School of Computing, Singapore 117417 · University of Chinese Academy of Sciences +4

  19. Artificial Intelligence-Enabled Accounting Information Systems and Fraud Detection in Nigeria's Financial Services Sector: The Moderating Role of Natural Language Processing

    Jun 4, 2026Timothy Oluwapelumi Adeyemi, Abigail Omotola OjogbedeFinancial ServicesAlgorithmic Auditing

    WeAreGenius Research Institute, Founder and Principal Researcher, Lagos, Nigeria. · Park University, MBA, United States.

  20. Medication-Aware Financial Exploitation Detection for Alzheimer's Patients Using Edge-Aware Interaction Risk Modeling

    May 30, 2026Farzana Akter, Lisan Al Amin, Rakib Hossain +2Alzheimer's DiseaseFeature Interaction Modeling

    Cognitive Links LLC, Maryland, USA · University of Maryland, College Park, USA

  21. Fraud Type Decomposition and the Observation-Mechanism Taxonomy:Class-Specific Detection Limits in Payment Networks

    May 29, 2026Gaurav DhamaFinancial Fraud DetectionLearning with Noisy Labels

  22. Temporal Motif-aware Graph Test-time Adaptation for OOD Blockchain Anomaly Detection

    May 28, 2026Runang He, Tongya Zheng, Huiling Peng +6Temporal GNNsTest-Time Adaptation

    State Key Laboratory of Blockchain and Data Security, Zhejiang University · Zhejiang Provincial Engineering Research Center for Real-Time SmartTech in Urban Security Governance, Hangzhou City University · Hangzhou High-Tech Zone (Binjiang) Institute of Blockchain and Data Security

  23. Causal Label Recovery in Payment Networks

    May 28, 2026Gaurav DhamaFinancial Fraud DetectionLearning with Noisy Labels

    Mastercard

  24. Let Relations Speak: An End-to-End LLM-GNN Soft Prompt Framework for Fraud Detection

    May 27, 2026Zhixing Zuo, Huilin He, Jiasheng Wu +1Graph Neural NetworksGraph Representation Learning

    School of Computer Science and Technology, Tongji University

  25. The Fundamental Limits of Fraud Detection in Card Payment Networks

    May 26, 2026Gaurav DhamaFinancial Fraud DetectionOnline Learning

    Mastercard

  26. TED: Related Party Transaction guided Tax Evasion Detection on Heterogeneous Graph

    May 26, 2026Yiming Xu, Bin Shi, Bo Dong +3Graph Attention NetworksHeterogeneous GNNs

    School of Computer Science and Technology, Xi’an Jiaotong University, Shaanxi, China. · School of Distance Education, Xi’an Jiaotong University, Shaanxi, China. · School of Computing and Augmented Intelligence, Arizona State University, Phoenix, USA.

  27. Innovations in Cardless Artificial Intelligence Banking: A Comprehensive Framework for Cyber Secure and Fraud Mitigation using Machine Learning Algorithms

    May 21, 2026Md IsrafeelFinancial ServicesFinancial Fraud Detection

    Dept. Electrical and Computer Engineering, University of Central Florida, Orlando, Florida, USA

  28. SilIF: Silhouette-Augmented Isolation Forest for Unsupervised Transaction Fraud Detection

    May 21, 2026Venkatakrishnan GopalakrishnanTabular Anomaly DetectionIsolation Forest

    Independent Researcher Redmond, WA, USA

  29. Q-SYNTH: Hybrid Quantum-Classical Adversarial Augmentation for Imbalanced Fraud Detection

    May 20, 2026Adam Innan, Mansour El Alami, Nouhaila Innan +2Class-Imbalanced LearningSynthetic Data Augmentation

    Quantum Physics and Spintronics Team, LPMC, Faculty of Sciences Ben M’sick, Hassan II University of Casablanca, Morocco · eBRAIN Lab, Division of Engineering, New York University Abu Dhabi (NYUAD), Abu Dhabi, UAE · Center for Quantum and Topological Systems (CQTS), NYUAD Research Institute, NYUAD, Abu Dhabi, UAE

  30. SCAFDS: Edge-Feature Graph Attention for Interbank Fraud Detection with Attribution-Grounded SAR Generation

    May 17, 2026Mohammad Nasir UddinGraph Attention NetworksFinancial Fraud Detection

    Taskimpetus Inc., Los Angeles, CA 90020, USA