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fraud detection

79 papers

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Co-occurring keywords

graph neural network (3962) large language model (13587) anomaly detection (747) binary classification (678) class imbalance (555) recurrent neural network (1790) attention mechanism (4001) text classification (6793) risk management (106) semi-supervised learning (2341)

Papers

TRUST: Transaction Risk via Unified Sequence and Topology AAAI 2026
DGP: A Dual-Granularity Prompting Framework for Fraud Detection with Graph-Enhanced LLMs AAAI 2026
IGT4ETH: An Isotropic Pre-trained Graph Transformer for Ethereum Account Classification AAAI 2026
SAFE-QAQ: End-to-End Slow-Thinking Audio-Text Fraud Detection via Reinforcement Learning ACL 2026
Targeting Borderline Fraudsters: Multi-View Hypergraph Fraud Detection with LLM-Guided Contrastive Learning AAAI 2026
Understanding Structured Financial Data with LLMs: A Case Study on Fraud Detection ACL 2026
CHIFRAUD: A Long-term Web Text Dataset for Chinese Fraud Detection COLING 2025
Dynamic Neighborhood Modeling via Node-Subgraph Contrastive Learning for Graph-Based Fraud Detection AAAI 2025
MOZ-Smishing: A Benchmark Dataset for Detecting Mobile Money Frauds ACL 2025
MutationGuard: A Graph and Temporal-Spatial Neural Method for Detecting Mutation Telecommunication Fraud IJCAI 2025
NLP-ADBench: NLP Anomaly Detection Benchmark EMNLP 2025
Unveiling the Threat of Fraud Gangs to Graph Neural Networks: Multi-Target Graph Injection Attacks Against GNN-Based Fraud Detectors AAAI 2025
Online Fraud Detection via Test-Time Retrieval-Based Representation Enrichment AAAI 2025
Detecting deepfakes and false ads through analysis of text and social engineering techniques COLING 2025
Knowledge-Grounded Detection of Cryptocurrency Scams with Retrieval-Augmented LMs ACL 2025
PyTorch-Lifestream: Learning Embeddings on Discrete Event Sequences IJCAI 2025
Mitigating Message Imbalance in Fraud Detection with Dual-View Graph Representation Learning IJCAI 2025
Attention-based Conditional Random Field for Financial Fraud Detection IJCAI 2025
Global Attribute-Association Pattern Aggregation for Graph Fraud Detection AAAI 2025
ScamNet: Toward Explainable Large Language Model-Based Fraudulent Shopping Website Detection AAAI 2025
Combating Phone Scams with LLM-based Detection: Where Do We Stand? (Student Abstract) AAAI 2025
Context-aware Graph Neural Network for Graph-based Fraud Detection with Extremely Limited Labels AAAI 2025
Fraud-R1 : A Multi-Round Benchmark for Assessing the Robustness of LLM Against Augmented Fraud and Phishing Inducements ACL 2025
LLM-Enhanced Self-Evolving Reinforcement Learning for Multi-Step E-Commerce Payment Fraud Risk Detection ACL 2025
RR-PU: A Synergistic Two-Stage Positive and Unlabeled Learning Framework for Robust Tax Evasion Detection AAAI 2024