Fraud Detection
12개 벤치마크 · 논문 729편 · 이 태스크의 논문 보기 →
Benchmarks
BAF – Base
Yelp-Fraud
Amazon-Fraud
Elliptic Dataset
BAF – Variant I
BAF – Variant II
BAF – Variant III
BAF – Variant IV
BAF – Variant V
FDCompCN
Most implemented
Continuous-variable quantum neural networks
SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training
Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters
Deep Anomaly Detection with Deviation Networks
Papers
TeleAntiFraud 2.0: A Refreshable, Profile-Grounded, and Audio-Based Benchmark for Telecom Fraud Detection
Telecom fraud scripts evolve rapidly and are often designed to resemble routine service conversations, creating two key requirements for audio-based telecom-fraud evaluation. First, benchmarks must incorporate newly obse…
Fraud DetectionFRAUDSkill: Structured Frozen-Weight Skill Optimization for Audio Anti-Fraud Detection
Large audio-language models have shown promise for anti-fraud detection by directly processing speech and reasoning over fraud-related evidence. Their deployment, however, requires predictions to follow a predefined labe…
Fraud DetectionEvidence-Consistent Generative Detection under Scenario-Level Distribution Shift
Conventional in-distribution evaluation can overestimate robustness when training and test data share recurring task-specific patterns or surface cues. This risk is especially relevant in social-engineering fraud detecti…
Fraud DetectionTraceable LLM Reasoning for Fake-Order Fraud Detection
Detecting fake-order fraud at scale remains a critical challenge for large online-to-offline (O2O) service platforms, as existing approaches often rely on expert-designed features, produce black-box decisions, and provid…
Reinforcement LearningDomain AdaptationFraud DetectionMeasuring the Dependency Gap: Diagnosing Inter-Column Fidelity in Tabular Generative Models
Synthetic tabular data are valued for preserving not just column-wise marginals but inter-column dependency. Yet the most commonly reported certification score, a linear (logistic-regression) classifier two-sample test (…
Fraud DetectionNeutralizing Structural Inequality in the Nigerian FinTech Sector
Algorithmic decision systems in financial services often rely on data proxies that inadvertently encode structural inequalities. This paper introduces a hierarchical human-AI triage model for Point of Sale fraud detectio…
Fraud Detection