A curated list of data mining papers about fraud detection.
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Similar collections about graph classification, classification/regression tree, gradient boosting, Monte Carlo tree search, and community detection papers with implementations.
Anti-Money Laundering by Group-Aware Deep Graph Learning (TKDE 2023)
Semi-supervised Credit Card Fraud Detection via Attribute-driven Graph Representation (AAAI 2023)
A Framework for Detecting Frauds from Extremely Few Labels (WSDM 2023)
Label Information Enhanced Fraud Detection against Low Homophily in Graphs (WWW 2023)
BERT4ETH: A Pre-trained Transformer for Ethereum Fraud Detection (WWW 2023)
The Importance of Future Information in Credit Card Fraud Detection (AISTATS 2022)
BRIGHT - Graph Neural Networks in Real-time Fraud Detection (CIKM 2022)
Dual-Augment Graph Neural Network for Fraud Detection (CIKM 2022)
Explainable Graph-based Fraud Detection via Neural Meta-graph Search (CIKM 2022)
MetaRule: A Meta-path Guided Ensemble Rule Set Learning for Explainable Fraud Detection (CIKM 2022)
User Behavior Pre-training for Online Fraud Detection (KDD 2022)
Accelerated GNN Training with DGL and RAPIDS cuGraph in a Fraud Detection Workflow (KDD 2022)
A View into YouTube View Fraud (WWW 2022)
Beyond Bot Detection: Combating Fraudulent Online Survey Takers (WWW 2022)
AUC-oriented Graph Neural Network for Fraud Detection (WWW 2022)
H2-FDetector: A GNN-based Fraud Detector with Homophilic and Heterophilic Connections (WWW 2022)
Active Learning for Human-in-the-loop Customs Inspection (TKDE 2022)
Knowledge Sharing via Domain Adaptation in Customs Fraud Detection (AAAI 2022)
Towards Consumer Loan Fraud Detection: Graph Neural Networks with Role-Constrained Conditional Random Field (AAAI 2021)
Modeling the Field Value Variations and Field Interactions Simultaneously for Fraud Detection (AAAI 2021)
IFDDS: An Anti-fraud Outbound Robot (AAAI 2021)
Modeling Heterogeneous Graph Network on Fraud Detection: A Community-based Framework with Attention Mechanism (CIKM 2021)
Fraud Detection under Multi-Sourced Extremely Noisy Annotations (CIKM 2021)
Adversarial Reprogramming of Pretrained Neural Networks for Fraud Detection (CIKM 2021)
Fine-Grained Element Identification in Complaint Text of Internet Fraud (CIKM 2021)
Could You Describe the Reason for the Transfer: A Reinforcement Learning Based Voice-Enabled Bot Protecting Customers from Financial Frauds (CIKM 2021)
Online Credit Payment Fraud Detection via Structure-Aware Hierarchical Recurrent Neural Network (IJCAI 2021)
Intention-aware Heterogeneous Graph Attention Networks for Fraud Transactions Detection (KDD 2021)
Live-Streaming Fraud Detection: A Heterogeneous Graph Neural Network Approach (KDD 2021)
Customs Fraud Detection in the Presence of Concept Drift (IncrLearn@ICDM 2021)
Pick and Choose: A GNN-based Imbalanced Learning Approach for Fraud Detection (WWW 2021)
Spatio-Temporal Attention-Based Neural Network for Credit Card Fraud Detection (AAAI 2020)
FlowScope: Spotting Money Laundering Based on Graphs (AAAI 2020)
Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters (CIKM 2020)
Loan Default Analysis with Multiplex Graph Learning (CIKM 2020)
Error-Bounded Graph Anomaly Loss for GNNs (CIKM 2020)
BotSpot: A Hybrid Learning Framework to Uncover Bot Install Fraud in Mobile Advertising (CIKM 2020)
Early Fraud Detection with Augmented Graph Learning (DLG@KDD 2020)
NAG: Neural Feature Aggregation Framework for Credit Card Fraud Detection (ICDM 2020)
Heterogeneous Mini-Graph Neural Network and Its Application to Fraud Invitation Detection (ICDM 2020)
Collaboration Based Multi-Label Propagation for Fraud Detection (IJCAI 2020)
The Behavioral Sign of Account Theft: Realizing Online Payment Fraud Alert (IJCAI 2020)
Federated Meta-Learning for Fraudulent Credit Card Detection (IJCAI 2020)
Robust Spammer Detection by Nash Reinforcement Learning (KDD 2020)
DATE: Dual Attentive Tree-aware Embedding for Customs Fraud Detection (KDD 2020)
Fraud Transactions Detection via Behavior Tree with Local Intention Calibration (KDD 2020)
Interleaved Sequence RNNs for Fraud Detection (KDD 2020)
GCN-Based User Representation Learning for Unifying Robust Recommendation and Fraudster Detection (SIGIR 2020)
Alleviating the Inconsistency Problem of Applying Graph Neural Network to Fraud Detection (SIGIR 2020)
Friend or Faux: Graph-Based Early Detection of Fake Accounts on Social Networks (WWW 2020)
Financial Defaulter Detection on Online Credit Payment via Multi-view Attributed Heterogeneous Information Network (WWW 2020)
ASA: Adversary Situation Awareness via Heterogeneous Graph Convolutional Networks (WWW 2020)
Modeling Users' Behavior Sequences with Hierarchical Explainable Network for Cross-domain Fraud Detection (WWW 2020)
SliceNDice: Mining Suspicious Multi-attribute Entity Groups with Multi-view Graphs (DSAA 2019)
FARE: Schema-Agnostic Anomaly Detection in Social Event Logs (DSAA 2019)
Cash-Out User Detection Based on Attributed Heterogeneous Information Network with a Hierarchical Attention Mechanism (AAAI 2019)
GeniePath: Graph Neural Networks with Adaptive Receptive Paths (AAAI 2019)
SAFE: A Neural Survival Analysis Model for Fraud Early Detection (AAAI 2019)
One-Class Adversarial Nets for Fraud Detection (AAAI 2019)
Uncovering Download Fraud Activities in Mobile App Markets (ASONAM 2019)
Spam Review Detection with Graph Convolutional Networks (CIKM 2019)
Key Player Identification in Underground Forums Over Attributed Heterogeneous Information Network Embedding Framework (CIKM 2019)
CatchCore: Catching Hierarchical Dense Subtensor (ECML-PKDD 2019)
Spotting Collective Behaviour of Online Frauds in Customer Reviews (IJCAI 2019)
A Semi-Supervised Graph Attentive Network for Fraud Detection (ICDM 2019)
EigenPulse: Detecting Surges in Large Streaming Graphs with Row Augmentation (PAKDD 2019)
Uncovering Insurance Fraud Conspiracy with Network Learning (SIGIR 2019)
A Contrast Metric for Fraud Detection in Rich Graphs (TKDE 2019)
Think Outside the Dataset: Finding Fraudulent Reviews using Cross-Dataset Analysis (WWW 2019)
Securing the Deep Fraud Detector in Large-Scale E-Commerce Platform via Adversarial Machine Learning Approach (WWW 2019)
No Place to Hide: Catching Fraudulent Entities in Tensors (WWW 2019)
FdGars: Fraudster Detection via Graph Convolutional Networks in Online App Review System (WWW 2019)
Heterogeneous Graph Neural Networks for Malicious Account Detection (CIKM 2018)
Reinforcement Mechanism Design for Fraudulent Behaviour in e-Commerce (AAAI 2018)
Adapting to Concept Drift in Credit Card Transaction Data Streams Using Contextual Bandits and Decision Trees (AAAI 2018)
Nextgen AML: Distributed Deep Learning Based Language Technologies to Augment Anti Money Laundering Investigation(ACL 2018)
Preserving Privacy of Fraud Detection Rule Sharing Using Intel's SGX (CIKM 2018)
Deep Structure Learning for Fraud Detection (ICDM 2018)
Learning Sequential Behavior Representations for Fraud Detection (ICDM 2018)
Impression Allocation for Combating Fraud in E-commerce Via Deep Reinforcement Learning with Action Norm Penalty (IJCAI 2018)
Tax Fraud Detection for Under-Reporting Declarations Using an Unsupervised Machine Learning Approach (KDD 2018)
Collective Fraud Detection Capturing Inter-Transaction Dependency (KDD 2018)
Fraud Detection with Density Estimation Trees (KDD 2018)
Real-time Constrained Cycle Detection in Large Dynamic Graphs (VLDB 2018)
REV2: Fraudulent User Prediction in Rating Platforms (WSDM 2018)
Exposing Search and Advertisement Abuse Tactics and Infrastructure of Technical Support Scammers (WWW 2018)
ZooBP: Belief Propagation for Heterogeneous Networks (VLDB 2017)
Behavioral Analysis of Review Fraud: Linking Malicious Crowdsourcing to Amazon and Beyond (AAAI 2017)
Detection of Money Laundering Groups: Supervised Learning on Small Networks (AAAI 2017)
Spectrum-based Deep Neural Networks for Fraud Detection (CIKM 2017)
HoloScope: Topology-and-Spike Aware Fraud Detection (CIKM 2017)
The Many Faces of Link Fraud (ICDM 2017)
HitFraud: A Broad Learning Approach for Collective Fraud Detection in Heterogeneous Information Networks (ICDM 2017)
GANG: Detecting Fraudulent Users in Online Social Networks via Guilt-by-Association on Directed Graphs (ICDM 2017)
Improving Card Fraud Detection Through Suspicious Pattern Discovery (IEA/AIE 2017)
Online Reputation Fraud Campaign Detection in User Ratings (IJCAI 2017)
Uncovering Unknown Unknowns in Financial Services Big Data by Unsupervised Methodologies: Present and Future trends (KDD 2017)
PD-FDS: Purchase Density based Online Credit Card Fraud Detection System (KDD 2017)
HiDDen: Hierarchical Dense Subgraph Detection with Application to Financial Fraud Detection (SDM 2017)
A Fraud Resilient Medical Insurance Claim System (AAAI 2016)
A Graph-Based, Semi-Supervised, Credit Card Fraud Detection System (COMPLEX NETWORKS 2016)
FRAUDAR: Bounding Graph Fraud in the Face of Camouflage (KDD 2016)
Identifying Anomalies in Graph Streams Using Change Detection (KDD 2016)
FairPlay: Fraud and Malware Detection in Google Play (SDM 2016)
BIRDNEST: Bayesian Inference for Ratings-Fraud Detection (SDM 2016)
Understanding the Detection of View Fraud in Video Content Portals (WWW 2016)
Toward An Intelligent Agent for Fraud Detection — The CFE Agent (AAAI 2015)
Graph Analysis for Detecting Fraud, Waste, and Abuse in Healthcare Data (AAAI 2015)
Robust System for Identifying Procurement Fraud (AAAI 2015)
Fraud Transaction Recognition: A Money Flow Network Approach (CIKM 2015)
Towards Collusive Fraud Detection in Online Reviews (ICDM 2015)
Catch the Black Sheep: Unified Framework for Shilling Attack Detection Based on Fraudulent Action Propagation (IJCAI 2015)
Collective Opinion Spam Detection: Bridging Review Networks and Metadata (KDD 2015)
Graph-Based User Behavior Modeling: From Prediction to Fraud Detection (KDD 2015)
FrauDetector: A Graph-Mining-based Framework for Fraudulent Phone Call Detection (KDD 2015)
A Framework for Intrusion Detection Based on Frequent Subgraph Mining (SDM 2015)
Crowd Fraud Detection in Internet Advertising (WWW 2015)
Spotting Suspicious Link Behavior with fBox: An Adversarial Perspective (ICDM 2014)
Fraudulent Support Telephone Number Identification Based on Co-Occurrence Information on the Web (AAAI 2014)
Corporate Residence Fraud Detection (KDD 2014)
Graphical Models for Identifying Fraud and Waste in Healthcare Claims (SDM 2014)
Improving Credit Card Fraud Detection with Calibrated Probabilities (SDM 2014)
Large Graph Mining: Patterns, Cascades, Fraud Detection, and Algorithms (WWW 2014)
Opinion Fraud Detection in Online Reviews by Network Effects (AAAI 2013)
Using Social Network Knowledge for Detecting Spider Constructions in Social Security Fraud (ASONAM 2013)
Ranking Fraud Detection for Mobile Apps: a Holistic View (CIKM 2013)
Using Co-Visitation Networks for Detecting Large Scale Online Display Advertising Exchange Fraud (KDD 2013)
Adaptive Adversaries: Building Systems to Fight Fraud and Cyber Intruders (KDD 2013)
Anomaly, Event, and Fraud Detection in Large Network Datasets (WSDM 2013)
Fraud Detection: Methods of Analysis for Hypergraph Data (ASONAM 2012)
Online Modeling of Proactive Moderation System for Auction Fraud Detection (WWW 2012)
A Machine-Learned Proactive Moderation System for Auction Fraud Detection (CIKM 2011)
A Taxi Driving Fraud Detection System (ICDM 2011)
Utility-Based Fraud Detection (IJCAI 2011)
A Pattern Discovery Approach to Retail Fraud Detection (KDD 2011)
Hunting for the Black Swan: Risk Mining from Text (ACL 2010)
Fraud Detection by Generating Positive Samples for Classification from Unlabeled Data (ACL 2010)
SVM-based Credit Card Fraud Detection with Reject Cost and Class-Dependent Error Cost (PAKDD 2009)
An Approach for Automatic Fraud Detection in the Insurance Domain (AAAI 2009)
Relational Data Pre-Processing Techniques for Improved Securities Fraud Detection (KDD 2007)
Uncovering Fraud in Direct Marketing Data with a Fraud Auditing Case Builder (PKDD 2007)
Netprobe: A Fast and Scalable System for Fraud Detection in Online Auction Networks (WWW 2007)
Data Mining Approaches to Criminal Career Analysis (ICDM 2006)
Large Scale Detection of Irregularities in Accounting Data (ICDM 2006)
Camouflaged Fraud Detection in Domains with Complex Relationships (KDD 2006)
Detecting Fraudulent Personalities in Networks of Online Auctioneers (PKDD 2006)
Technologies to Defeat Fraudulent Schemes Related to Email Requests (AAAI 2005)
AI Technologies to Defeat Identity Theft Vulnerabilities (AAAI 2005)
Detecting Fraud in Health Insurance Data: Learning to Model Incomplete Benford's Law Distributions (ECML 2005)
Using Relational Knowledge Discovery to Prevent Securities Fraud (KDD 2005)
Toward Scalable Learning with Non-Uniform Class and Cost Distributions: A Case Study in Credit Card Fraud Detection (KDD 1998)
Call-Based Fraud Detection in Mobile Communication Networks Using a Hierarchical Regime-Switching Model (NIPS 1998)
Detection of Mobile Phone Fraud Using Supervised Neural Networks: A First Prototype (ICANN 1997)
Prospective Assessment of AI Technologies for Fraud Detection: A Case Study (AAAI 1997)
Credit Card Fraud Detection Using Meta-Learning: Issues and Initial Results (AAAI 1997)
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