# Awesome Fraud Detection Research Papers.

A curated list of fraud detection papers from the following conferences:

- Network Science
  - ASONAM
  - COMPLEX NETWORKS
- Data Science
  - DSAA
- Natural Language Processing
  - ACL
- Data Mining
  - KDD
  - ICDM
  - SIGIR
  - SDM
  - WWW
  - CIKM
- Artificial Intelligence
  - AAAI
  - AISTATS
  - IJCAI
  - UAI
- Databases
  - VLDB

Similar collections about graph classification, classification/regression tree, gradient boosting, Monte Carlo tree search, and community detection papers with implementations.

## 2023

- Anti-Money Laundering by Group-Aware Deep Graph Learning (TKDE 2023)
  - Dawei Cheng, Yujia Ye, Sheng Xiang, Zhenwei Ma, Ying Zhang, Changjun Jiang
  - [Paper]
- Semi-supervised Credit Card Fraud Detection via Attribute-driven Graph Representation (AAAI 2023)
  - Sheng Xiang, Mingzhi Zhu, Dawei Cheng, Enxia Li, Ruihui Zhao, Yi Ouyang, Ling Chen, Yefeng Zheng
  - [Paper]
  - [Code]
- A Framework for Detecting Frauds from Extremely Few Labels (WSDM 2023)
  - Ya-Lin Zhang, Yi-Xuan Sun, Fangfang Fan, Meng Li, Yeyu Zhao, Wei Wang, Longfei Li, Jun Zhou, Jinghua Feng
  - [Paper]
- Label Information Enhanced Fraud Detection against Low Homophily in Graphs (WWW 2023)
  - Yuchen Wang, Jinghui Zhang, Zhengjie Huang, Weibin Li, Shikun Feng, Ziheng Ma, Yu Sun, Dianhai Yu, Fang Dong, Jiahui Jin, Beilun Wang, Junzhou Luo (WWW 2023)
  - [Paper]
- BERT4ETH: A Pre-trained Transformer for Ethereum Fraud Detection (WWW 2023)
  - Sihao Hu, Zhen Zhang, Bingqiao Luo, Shengliang Lu, Bingsheng He, Ling Liu
  - [Paper]

## 2022

- The Importance of Future Information in Credit Card Fraud Detection (AISTATS 2022)
  - Van Bach Nguyen, Kanishka Ghosh Dastidar, Michael Granitzer, Wissam Siblini
  - [Paper]
- BRIGHT - Graph Neural Networks in Real-time Fraud Detection (CIKM 2022)
  - Mingxuan Lu, Zhichao Han, Susie Xi Rao, Zitao Zhang, Yang Zhao, Yinan Shan, Ramesh Raghunathan, Ce Zhang, Jiawei Jiang
  - [Paper]
- Dual-Augment Graph Neural Network for Fraud Detection (CIKM 2022)
  - Qiutong Li, Yanshen He, Cong Xu, Feng Wu, Jianliang Gao, Zhao Li
  - [Paper]
- Explainable Graph-based Fraud Detection via Neural Meta-graph Search (CIKM 2022)
  - Zidi Qin, Yang Liu, Qing He, Xiang Ao
  - [Paper]
- MetaRule: A Meta-path Guided Ensemble Rule Set Learning for Explainable Fraud Detection (CIKM 2022)
  - Lu Yu, Meng Li, Xiaoguang Huang, Wei Zhu, Yanming Fang, Jun Zhou, Longfei Li
  - [Paper]
- User Behavior Pre-training for Online Fraud Detection (KDD 2022)
  - Can Liu, Yuncong Gao, Li Sun, Jinghua Feng, Hao Yang, Xiang Ao
  - [Paper]
- Accelerated GNN Training with DGL and RAPIDS cuGraph in a Fraud Detection Workflow (KDD 2022)
  - Brad Rees, Xiaoyun Wang, Joe Eaton, Onur Yilmaz, Rick Ratzel, Dominque LaSalle
  - [Paper]
- A View into YouTube View Fraud (WWW 2022)
  - Dhruv Kuchhal, Frank Li
  - [Paper]
- Beyond Bot Detection: Combating Fraudulent Online Survey Takers (WWW 2022)
  - Ziyi Zhang, Shuofei Zhu, Jaron Mink, Aiping Xiong, Linhai Song, Gang Wang
  - [Paper]
- AUC-oriented Graph Neural Network for Fraud Detection (WWW 2022)
  - Mengda Huang, Yang Liu, Xiang Ao, Kuan Li, Jianfeng Chi, Jinghua Feng, Hao Yang, Qing He
  - [Paper]
- H2-FDetector: A GNN-based Fraud Detector with Homophilic and Heterophilic Connections (WWW 2022)
  - Fengzhao Shi, Yanan Cao, Yanmin Shang, Yuchen Zhou, Chuan Zhou, Jia Wu
  - [Paper]
- Active Learning for Human-in-the-loop Customs Inspection (TKDE 2022)
  - Sundong Kim, Tung-Duong Mai, Thi Nguyen Duc Khanh, Sungwon Han, Sungwon Park, Karandeep Singh, Meeyoung Cha
  - [Paper]
  - [Code]
- Knowledge Sharing via Domain Adaptation in Customs Fraud Detection (AAAI 2022)
  - Sungwon Park, Sundong Kim, Meeyoung Cha
  - [Paper]

## 2021

- Towards Consumer Loan Fraud Detection: Graph Neural Networks with Role-Constrained Conditional Random Field (AAAI 2021)
  - Bingbing Xu, Huawei Shen, Bing-Jie Sun, Rong An, Qi Cao, Xueqi Cheng
  - [Paper]
- Modeling the Field Value Variations and Field Interactions Simultaneously for Fraud Detection (AAAI 2021)
  - Dongbo Xi, Bowen Song, Fuzhen Zhuang, Yongchun Zhu, Shuai Chen, Tianyi Zhang, Yuan Qi, Qing He
  - [Paper]
- IFDDS: An Anti-fraud Outbound Robot (AAAI 2021)
  - Zihao Wang, Minghui Yang, Chunxiang Jin, Jia Liu, Zujie Wen, Saishuai Liu, Zhe Zhang
  - [Paper]
- Modeling Heterogeneous Graph Network on Fraud Detection: A Community-based Framework with Attention Mechanism (CIKM 2021)
  - Li Wang, Peipei Li, Kai Xiong, Jiashu Zhao, Rui Lin
  - [Paper]
- Fraud Detection under Multi-Sourced Extremely Noisy Annotations (CIKM 2021)
  - Chuang Zhang, Qizhou Wang, Tengfei Liu, Xun Lu, Jin Hong, Bo Han, Chen Gong
  - [Paper]
- Adversarial Reprogramming of Pretrained Neural Networks for Fraud Detection (CIKM 2021)
  - Lingwei Chen, Yujie Fan, Yanfang Ye
  - [Paper]
- Fine-Grained Element Identification in Complaint Text of Internet Fraud (CIKM 2021)
  - Tong Liu, Siyuan Wang, Jingchao Fu, Lei Chen, Zhongyu Wei, Yaqi Liu, Heng Ye, Liaosa Xu, Weiqiang Wang, Xuanjing Huang
  - [Paper]
- Could You Describe the Reason for the Transfer: A Reinforcement Learning Based Voice-Enabled Bot Protecting Customers from Financial Frauds (CIKM 2021)
  - Zihao Wang, Fudong Wang, Haipeng Zhang, Minghui Yang, Shaosheng Cao, Zujie Wen, Zhe Zhang
  - [Paper]
- Online Credit Payment Fraud Detection via Structure-Aware Hierarchical Recurrent Neural Network (IJCAI 2021)
  - Wangli Lin, Li Sun, Qiwei Zhong, Can Liu, Jinghua Feng, Xiang Ao, Hao Yang
  - [Paper]
- Intention-aware Heterogeneous Graph Attention Networks for Fraud Transactions Detection (KDD 2021)
  - Can Liu, Li Sun, Xiang Ao, Jinghua Feng, Qing He, Hao Yang
  - [Paper]
- Live-Streaming Fraud Detection: A Heterogeneous Graph Neural Network Approach (KDD 2021)
  - Haishuai Wang, Zhao Li, Peng Zhang, Jiaming Huang, Pengrui Hui, Jian Liao, Ji Zhang, Jiajun Bu
  - [Paper]
- Customs Fraud Detection in the Presence of Concept Drift (IncrLearn@ICDM 2021)
  - Tung-Duong Mai, Kien Hoang, Aitolkyn Baigutanova, Gaukhartas Alina, Sundong Kim
  - [Paper]
- Pick and Choose: A GNN-based Imbalanced Learning Approach for Fraud Detection (WWW 2021)
  - Yang Liu, Xiang Ao, Zidi Qin, Jianfeng Chi, Jinghua Feng, Hao Yang, Qing He
  - [Paper]

## 2020

- Spatio-Temporal Attention-Based Neural Network for Credit Card Fraud Detection (AAAI 2020)
  - Dawei Cheng, Sheng Xiang, Chencheng Shang, Yiyi Zhang, Fangzhou Yang, Liqing Zhang
  - [Paper]
- FlowScope: Spotting Money Laundering Based on Graphs (AAAI 2020)
  - Xiangfeng Li, Shenghua Liu, Zifeng Li, Xiaotian Han, Chuan Shi, Bryan Hooi, He Huang, Xueqi Cheng
  - [Paper]
  - [Code]
- Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters (CIKM 2020)
  - Yingtong Dou, Zhiwei Liu, Li Sun, Yutong Deng, Hao Peng, Philip S. Yu
  - [Paper]
  - [Code]
- Loan Default Analysis with Multiplex Graph Learning (CIKM 2020)
  - Binbin Hu, Zhiqiang Zhang, Jun Zhou, Jingli Fang, Quanhui Jia, Yanming Fang, Quan Yu, Yuan Qi
  - [Paper]
- Error-Bounded Graph Anomaly Loss for GNNs (CIKM 2020)
  - Tong Zhao, Chuchen Deng, Kaifeng Yu, Tianwen Jiang, Daheng Wang, Meng Jiang
  - [Paper]
  - [Code]
- BotSpot: A Hybrid Learning Framework to Uncover Bot Install Fraud in Mobile Advertising (CIKM 2020)
  - Tianjun Yao, Qing Li, Shangsong Liang, Yadong Zhu
  - [Paper]
  - [Code]
- Early Fraud Detection with Augmented Graph Learning (DLG@KDD 2020)
  - Tong Zhao, Bo Ni, Wenhao Yu, Meng Jiang
  - [Paper]
- NAG: Neural Feature Aggregation Framework for Credit Card Fraud Detection (ICDM 2020)
  - Kanishka Ghosh Dastidar, Johannes Jurgovsky, Wissam Siblini, Liyun He-Guelton, Michael Granitzer
  - [Paper]
- Heterogeneous Mini-Graph Neural Network and Its Application to Fraud Invitation Detection (ICDM 2020)
  - Yong-Nan Zhu, Xiaotian Luo, Yu-Feng Li, Bin Bu, Kaibo Zhou, Wenbin Zhang, Mingfan Lu
  - [Paper]
- Collaboration Based Multi-Label Propagation for Fraud Detection (IJCAI 2020)
  - Haobo Wang, Zhao Li, Jiaming Huang, Pengrui Hui, Weiwei Liu, Tianlei Hu, Gang Chen
  - [Paper]
- The Behavioral Sign of Account Theft: Realizing Online Payment Fraud Alert (IJCAI 2020)
  - Cheng Wang
  - [Paper]
- Federated Meta-Learning for Fraudulent Credit Card Detection (IJCAI 2020)
  - Wenbo Zheng, Lan Yan, Chao Gou, Fei-Yue Wang
  - [Paper]
- Robust Spammer Detection by Nash Reinforcement Learning (KDD 2020)
  - Yingtong Dou, Guixiang Ma, Philip S. Yu, Sihong Xie
  - [Paper]
  - [Code]
- DATE: Dual Attentive Tree-aware Embedding for Customs Fraud Detection (KDD 2020)
  - Sundong Kim, Yu-Che Tsai, Karandeep Singh, Yeonsoo Choi, Etim Ibok, Cheng-Te Li, Meeyoung Cha
  - [Paper]
  - [Code]
- Fraud Transactions Detection via Behavior Tree with Local Intention Calibration (KDD 2020)
  - Can Liu, Qiwei Zhong, Xiang Ao, Li Sun, Wangli Lin, Jinghua Feng, Qing He, Jiayu Tang
  - [Paper]
- Interleaved Sequence RNNs for Fraud Detection (KDD 2020)
  - Bernardo Branco, Pedro Abreu, Ana Sofia Gomes, Mariana S. C. Almeida, João Tiago Ascensão, Pedro Bizarro
  - [Paper]
- GCN-Based User Representation Learning for Unifying Robust Recommendation and Fraudster Detection (SIGIR 2020)
  - Shijie Zhang, Hongzhi Yin, Tong Chen, Quoc Viet Nguyen Hung, Zi Huang, Lizhen Cui
  - [Paper]
- Alleviating the Inconsistency Problem of Applying Graph Neural Network to Fraud Detection (SIGIR 2020)
  - Zhiwei Liu, Yingtong Dou, Philip S. Yu, Yutong Deng, Hao Peng
  - [Paper]
  - [Code]
- Friend or Faux: Graph-Based Early Detection of Fake Accounts on Social Networks (WWW 2020)
  - Adam Breuer, Roee Eilat, Udi Weinsberg
  - [Paper]
- Financial Defaulter Detection on Online Credit Payment via Multi-view Attributed Heterogeneous Information Network (WWW 2020)
  - Qiwei Zhong, Yang Liu, Xiang Ao, Binbin Hu, Jinghua Feng, Jiayu Tang, Qing He
  - [Paper]
- ASA: Adversary Situation Awareness via Heterogeneous Graph Convolutional Networks (WWW 2020)
  - Rui Wen, Jianyu Wang, Chunming Wu, Jian Xiong
  - [Paper]
- Modeling Users’ Behavior Sequences with Hierarchical Explainable Network for Cross-domain Fraud Detection (WWW 2020)
  - Yongchun Zhu, Dongbo Xi, Bowen Song, Fuzhen Zhuang, Shuai Chen, Xi Gu, Qing He
  - [Paper]

## 2019

- SliceNDice: Mining Suspicious Multi-attribute Entity Groups with Multi-view Graphs (DSAA 2019)
  - Hamed Nilforoshan, Neil Shah
  - [Paper]
  - [Code]
- FARE: Schema-Agnostic Anomaly Detection in Social Event Logs (DSAA 2019)
  - Neil Shah
  - [Paper]
- Cash-Out User Detection Based on Attributed Heterogeneous Information Network with a Hierarchical Attention Mechanism (AAAI 2019)
  - Binbin Hu, Zhiqiang Zhang, Chuan Shi, Jun Zhou, Xiaolong Li, Yuan Qi
  - [Paper]
  - [Code]
- GeniePath: Graph Neural Networks with Adaptive Receptive Paths (AAAI 2019)
  - Ziqi Liu, Chaochao Chen, Longfei Li, Jun Zhou, Xiaolong Li, Le Song, Yuan Qi
  - [Paper]
  - [Code]
- SAFE: A Neural Survival Analysis Model for Fraud Early Detection (AAAI 2019)
  - Panpan Zheng, Shuhan Yuan, Xintao Wu
  - [Paper]
  - [Code]
- One-Class Adversarial Nets for Fraud Detection (AAAI 2019)
  - Panpan Zheng, Shuhan Yuan, Xintao Wu, Jun Li, Aidong Lu
  - [Paper]
  - [Code]
- Uncovering Download Fraud Activities in Mobile App Markets (ASONAM 2019)
  - Yingtong Dou, Weijian Li, Zhirong Liu, Zhenhua Dong, Jiebo Luo, Philip S. Yu
  - [Paper]
- Spam Review Detection with Graph Convolutional Networks (CIKM 2019)
  - Ao Li, Zhou Qin, Runshi Liu, Yiqun Yang, Dong Li
  - [Paper]
  - [Code]
- Key Player Identification in Underground Forums Over Attributed Heterogeneous Information Network Embedding Framework (CIKM 2019)
  - Yiming Zhang, Yujie Fan, Yanfang Ye, Liang Zhao, Chuan Shi
  - [Paper]
  - [Code]
- CatchCore: Catching Hierarchical Dense Subtensor (ECML-PKDD 2019)
  - Wenjie Feng, Shenghua Liu, Huawei Shen, and Xueqi Cheng
  - [Paper]
  - [Code]
- Spotting Collective Behaviour of Online Frauds in Customer Reviews (IJCAI 2019)
  - Sarthika Dhawan, Siva Charan Reddy Gangireddy, Shiv Kumar, Tanmoy Chakraborty
  - [Paper]
  - [Code]
- A Semi-Supervised Graph Attentive Network for Fraud Detection (ICDM 2019)
  - Daixin Wang, Jianbin Lin, Peng Cui, Quanhui Jia, Zhen Wang, Yanming Fang, Quan Yu, Jun Zhou, Shuang Yang, and Qi Yuan
  - [Paper]
  - [Code]
- EigenPulse: Detecting Surges in Large Streaming Graphs with Row Augmentation (PAKDD 2019)
  - Jiabao Zhang, Shenghua Liu, Wenjian Yu, Wenjie Feng, Xueqi Cheng
  - [Paper]
- Uncovering Insurance Fraud Conspiracy with Network Learning (SIGIR 2019)
  - Chen Liang, Ziqi Liu, Bin Liu, Jun Zhou, Xiaolong Li, Shuang Yang, Yuan Qi
  - [Paper]
- A Contrast Metric for Fraud Detection in Rich Graphs (TKDE 2019)
  - Shenghua Liu, Bryan Hooi, Christos Faloutsos
  - [Paper]
- Think Outside the Dataset: Finding Fraudulent Reviews using Cross-Dataset Analysis (WWW 2019)
  - Shirin Nilizadeh, Hojjat Aghakhani, Eric Gustafson, Christopher Kruegel, Giovanni Vigna
  - [Paper]
- Securing the Deep Fraud Detector in Large-Scale E-Commerce Platform via Adversarial Machine Learning Approach (WWW 2019)
  - Qingyu Guo, Zhao Li, Bo An, Pengrui Hui, Jiaming Huang, Long Zhang, Mengchen Zhao
  - [Paper]
- No Place to Hide: Catching Fraudulent Entities in Tensors (WWW 2019)
  - Yikun Ban, Xin Liu, Ling Huang, Yitao Duan, Xue Liu, Wei Xu
  - [Paper]
- FdGars: Fraudster Detection via Graph Convolutional Networks in Online App Review System (WWW 2019)
  - Rui Wen, Jianyu Wang and Yu Huang
  - [Paper]
  - [Code]

## 2018

- Heterogeneous Graph Neural Networks for Malicious Account Detection (CIKM 2018)
  - Ziqi Liu, Chaochao Chen, Xinxing Yang, Jun Zhou, Xiaolong Li, and Le Song
  - [Paper]
  - [Code]
- Reinforcement Mechanism Design for Fraudulent Behaviour in e-Commerce (AAAI 2018)
  - Qingpeng Cai, Aris Filos-Ratsikas, Pingzhong Tang, Yiwei Zhang
  - [Paper]
- Adapting to Concept Drift in Credit Card Transaction Data Streams Using Contextual Bandits and Decision Trees (AAAI 2018)
  - Dennis J. N. J. Soemers, Tim Brys, Kurt Driessens, Mark H. M. Winands, Ann Nowé
  - [Paper]
- Nextgen AML: Distributed Deep Learning Based Language Technologies to Augment Anti Money Laundering Investigation(ACL 2018)
  - Jingguang Han, Utsab Barman, Jeremiah Hayes, Jinhua Du, Edward Burgin, Dadong Wan
  - [Paper]
- Preserving Privacy of Fraud Detection Rule Sharing Using Intel’s SGX (CIKM 2018)
  - Daniel Deutch, Yehonatan Ginzberg, Tova Milo
  - [Paper]
- Deep Structure Learning for Fraud Detection (ICDM 2018)
  - Haibo Wang, Chuan Zhou, Jia Wu, Weizhen Dang, Xingquan Zhu, Jilong Wang
  - [Paper]
- Learning Sequential Behavior Representations for Fraud Detection (ICDM 2018)
  - Jia Guo, Guannan Liu, Yuan Zuo, Junjie Wu
  - [Paper]
- Impression Allocation for Combating Fraud in E-commerce Via Deep Reinforcement Learning with Action Norm Penalty (IJCAI 2018)
  - Mengchen Zhao, Zhao Li, Bo An, Haifeng Lu, Yifan Yang, Chen Chu
  - [Paper]
- Tax Fraud Detection for Under-Reporting Declarations Using an Unsupervised Machine Learning Approach (KDD 2018)
  - Daniel de Roux, Boris Perez, Andrés Moreno, María-Del-Pilar Villamil, César Figueroa
  - [Paper]
- Collective Fraud Detection Capturing Inter-Transaction Dependency (KDD 2018)
  - Bokai Cao, Mia Mao, Siim Viidu, Philip Yu
  - [Paper]
- Fraud Detection with Density Estimation Trees (KDD 2018)
  - Fraud Detection with Density Estimation Trees
  - [Paper]
- Real-time Constrained Cycle Detection in Large Dynamic Graphs (VLDB 2018)
  - Xiafei Qiu, Wubin Cen, Zhengping Qian, You Peng, Ying Zhang, Xuemin Lin, Jingren Zhou
  - [Paper]
- REV2: Fraudulent User Prediction in Rating Platforms (WSDM 2018)
  - Srijan Kumar, Bryan Hooi, Disha Makhija, Mohit Kumar, Christos Faloutsos, V. S. Subrahmanian
  - [Paper]
  - [Code]
- Exposing Search and Advertisement Abuse Tactics and Infrastructure of Technical Support Scammers (WWW 2018)
  - Bharat Srinivasan, Athanasios Kountouras, Najmeh Miramirkhani, Monjur Alam, Nick Nikiforakis, Manos Antonakakis, Mustaque Ahamad
  - [Paper]

## 2017

- ZooBP: Belief Propagation for Heterogeneous Networks (VLDB 2017)
  - Dhivya Eswaran, Stephan Gunnemann, Christos Faloutsos, Disha Makhija, Mohit Kumar
  - [Paper]
  - [Code]
- Behavioral Analysis of Review Fraud: Linking Malicious Crowdsourcing to Amazon and Beyond (AAAI 2017)
  - Parisa Kaghazgaran, James Caverlee, Majid Alfifi
  - [Paper]
- Detection of Money Laundering Groups: Supervised Learning on Small Networks (AAAI 2017)
  - David Savage, Qingmai Wang, Xiuzhen Zhang, Pauline Chou, Xinghuo Yu
  - [Paper]
- Spectrum-based Deep Neural Networks for Fraud Detection (CIKM 2017)
  - Shuhan Yuan, Xintao Wu, Jun Li, Aidong Lu
  - [Paper]
- HoloScope: Topology-and-Spike Aware Fraud Detection (CIKM 2017)
  - Shenghua Liu, Bryan Hooi, Christos Faloutsos
  - [Paper]
- The Many Faces of Link Fraud (ICDM 2017)
  - Neil Shah, Hemank Lamba, Alex Beutel, Christos Faloutsos
  - [Paper]
- HitFraud: A Broad Learning Approach for Collective Fraud Detection in Heterogeneous Information Networks (ICDM 2017)
  - Bokai Cao, Mia Mao, Siim Viidu, Philip S. Yu
  - [Paper]
- GANG: Detecting Fraudulent Users in Online Social Networks via Guilt-by-Association on Directed Graphs (ICDM 2017)
  - Binghui Wang, Neil Zhenqiang Gong, Hao Fu
  - [Paper]
  - [Code]
- Improving Card Fraud Detection Through Suspicious Pattern Discovery (IEA/AIE 2017)
  - Fabian Braun, Olivier Caelen, Evgueni N. Smirnov, Steven Kelk, Bertrand Lebichot:
  - [Paper]
- Online Reputation Fraud Campaign Detection in User Ratings (IJCAI 2017)
  - Chang Xu, Jie Zhang, Zhu Sun
  - [Paper]
- Uncovering Unknown Unknowns in Financial Services Big Data by Unsupervised Methodologies: Present and Future trends (KDD 2017)
  - Gil Shabat, David Segev, Amir Averbuch
  - [Paper]
- PD-FDS: Purchase Density based Online Credit Card Fraud Detection System (KDD 2017)
  - Youngjoon Ki, Ji Won Yoon
  - [Paper]
- HiDDen: Hierarchical Dense Subgraph Detection with Application to Financial Fraud Detection (SDM 2017)
  - Si Zhang, Dawei Zhou, Mehmet Yigit Yildirim, Scott Alcorn, Jingrui He, Hasan Davulcu, Hanghang Tong
  - [Paper]

## 2016

- A Fraud Resilient Medical Insurance Claim System (AAAI 2016)
  - Yuliang Shi, Chenfei Sun, Qingzhong Li, Lizhen Cui, Han Yu, Chunyan Miao
  - [Paper]
- A Graph-Based, Semi-Supervised, Credit Card Fraud Detection System (COMPLEX NETWORKS 2016)
  - Bertrand Lebichot, Fabian Braun, Olivier Caelen, Marco Saerens
  - [Paper]
- FRAUDAR: Bounding Graph Fraud in the Face of Camouflage (KDD 2016)
  - Bryan Hooi, Hyun Ah Song, Alex Beutel, Neil Shah, Kijung Shin, Christos Faloutsos
  - [Paper]
  - [Code]
- Identifying Anomalies in Graph Streams Using Change Detection (KDD 2016)
  - William Eberle and Lawrence Holde
  - [Paper]
- FairPlay: Fraud and Malware Detection in Google Play (SDM 2016)
  - Mahmudur Rahman, Mizanur Rahman, Bogdan Carbunar, Duen Horng Chau
  - [Paper]
- BIRDNEST: Bayesian Inference for Ratings-Fraud Detection (SDM 2016)
  - Bryan Hooi, Neil Shah, Alex Beutel, Stephan Günnemann, Leman Akoglu, Mohit Kumar, Disha Makhija, Christos Faloutsos
  - [Paper]
- Understanding the Detection of View Fraud in Video Content Portals (WWW 2016)
  - Miriam Marciel, Rubén Cuevas, Albert Banchs, Roberto Gonzalez, Stefano Traverso, Mohamed Ahmed, Arturo Azcorra
  - [Paper]

## 2015

- Toward An Intelligent Agent for Fraud Detection — The CFE Agent (AAAI 2015)
  - Joe Johnson
  - [Paper]
- Graph Analysis for Detecting Fraud, Waste, and Abuse in Healthcare Data (AAAI 2015)
  - Juan Liu, Eric Bier, Aaron Wilson, Tomonori Honda, Kumar Sricharan, Leilani Gilpin, John Alexis Guerra Gómez, Daniel Davies
  - [Paper]
- Robust System for Identifying Procurement Fraud (AAAI 2015)
  - Amit Dhurandhar, Rajesh Kumar Ravi, Bruce Graves, Gopikrishnan Maniachari, Markus Ettl
  - [Paper]
- Fraud Transaction Recognition: A Money Flow Network Approach (CIKM 2015)
  - Renxin Mao, Zhao Li, Jinhua Fu
  - [Paper]
- Towards Collusive Fraud Detection in Online Reviews (ICDM 2015)
  - Chang Xu, Jie Zhang
  - [Paper]
- Catch the Black Sheep: Unified Framework for Shilling Attack Detection Based on Fraudulent Action Propagation (IJCAI 2015)
  - Yongfeng Zhang, Yunzhi Tan, Min Zhang, Yiqun Liu, Tat-Seng Chua, Shaoping Ma
  - [Paper]
- Collective Opinion Spam Detection: Bridging Review Networks and Metadata (KDD 2015)
  - Shebuti Rayana, Leman Akoglu
  - [Paper]
  - [Code]
- Graph-Based User Behavior Modeling: From Prediction to Fraud Detection (KDD 2015)
  - Alex Beutel, Leman Akoglu, Christos Faloutsos
  - [Paper]
- FrauDetector: A Graph-Mining-based Framework for Fraudulent Phone Call Detection (KDD 2015)
  - Vincent S. Tseng, Jia-Ching Ying, Che-Wei Huang, Yimin Kao, Kuan-Ta Chen
  - [Paper]
- A Framework for Intrusion Detection Based on Frequent Subgraph Mining (SDM 2015)
  - Vitali Herrera-Semenets, Niusvel Acosta-Mendoza, Andres Gago-Alonso
  - [Paper]
- Crowd Fraud Detection in Internet Advertising (WWW 2015)
  - Tian Tian, Jun Zhu, Fen Xia, Xin Zhuang, Tong Zhang
  - [Paper]

## 2014

- Spotting Suspicious Link Behavior with fBox: An Adversarial Perspective (ICDM 2014)
  - Neil Shah, Alex Beutel, Brian Gallagher, Christos Faloutsos
  - [Paper]
  - [Code]
- Fraudulent Support Telephone Number Identification Based on Co-Occurrence Information on the Web (AAAI 2014)
  - Xin Li, Yiqun Liu, Min Zhang, Shaoping Ma
  - [Paper]
- Corporate Residence Fraud Detection (KDD 2014)
  - Enric Junqué de Fortuny, Marija Stankova, Julie Moeyersoms, Bart Minnaert, Foster J. Provost, David Martens
  - [Paper]
- Graphical Models for Identifying Fraud and Waste in Healthcare Claims (SDM 2014)
  - Peder A. Olsen, Ramesh Natarajan, Sholom M. Weiss
  - [Paper]
- Improving Credit Card Fraud Detection with Calibrated Probabilities (SDM 2014)
  - Alejandro Correa Bahnsen, Aleksandar Stojanovic, Djamila Aouada, Björn E. Ottersten
  - [Paper]
- Large Graph Mining: Patterns, Cascades, Fraud Detection, and Algorithms (WWW 2014)
  - Christos Faloutsos
  - [Paper]

## 2013

- Opinion Fraud Detection in Online Reviews by Network Effects (AAAI 2013)
  - Leman Akoglu, Rishi Chandy, Christos Faloutsos
  - [Paper]
- Using Social Network Knowledge for Detecting Spider Constructions in Social Security Fraud (ASONAM 2013)
  - Véronique Van Vlasselaer, Jan Meskens, Dries Van Dromme, Bart Baesens
  - [Paper]
- Ranking Fraud Detection for Mobile Apps: a Holistic View (CIKM 2013)
  - Hengshu Zhu, Hui Xiong, Yong Ge, Enhong Chen
  - [Paper]
- Using Co-Visitation Networks for Detecting Large Scale Online Display Advertising Exchange Fraud (KDD 2013)
  - Ori Stitelman, Claudia Perlich, Brian Dalessandro, Rod Hook, Troy Raeder, Foster J. Provost
  - [Paper]
- Adaptive Adversaries: Building Systems to Fight Fraud and Cyber Intruders (KDD 2013)
  - Ari Gesher
  - [Paper]
- Anomaly, Event, and Fraud Detection in Large Network Datasets (WSDM 2013)
  - Leman Akoglu, Christos Faloutsos
  - [Paper]

## 2012

- Fraud Detection: Methods of Analysis for Hypergraph Data (ASONAM 2012)
  - Anna Leontjeva, Konstantin Tretyakov, Jaak Vilo, and Taavi Tamkivi
  - [Paper]
- Online Modeling of Proactive Moderation System for Auction Fraud Detection (WWW 2012)
  - Liang Zhang, Jie Yang, Belle L. Tseng
  - [Paper]

## 2011

- A Machine-Learned Proactive Moderation System for Auction Fraud Detection (CIKM 2011)
  - Liang Zhang, Jie Yang, Wei Chu, Belle L. Tseng
  - [Paper]
- A Taxi Driving Fraud Detection System (ICDM 2011)
  - Yong Ge, Hui Xiong, Chuanren Liu, Zhi-Hua Zhou
  - [Paper]
- Utility-Based Fraud Detection (IJCAI 2011)
  - Luís Torgo, Elsa Lopes
  - [Paper]
- A Pattern Discovery Approach to Retail Fraud Detection (KDD 2011)
  - Prasad Gabbur, Sharath Pankanti, Quanfu Fan, Hoang Trinh
  - [Paper]

## 2010

- Hunting for the Black Swan: Risk Mining from Text (ACL 2010)
  - JL Leidner, F Schilder
  - [Paper]
- Fraud Detection by Generating Positive Samples for Classification from Unlabeled Data (ACL 2010)
  - Levente Kocsis, Andras George
  - [Paper]

## 2009

- SVM-based Credit Card Fraud Detection with Reject Cost and Class-Dependent Error Cost (PAKDD 2009)
  - En-hui Zheng,Chao Zou,Jian Sun, Le Chen
  - [Paper]
- An Approach for Automatic Fraud Detection in the Insurance Domain (AAAI 2009)
  - Alexander Widder, Rainer v. Ammon, Gerit Hagemann, Dirk Schönfeld
  - [Paper]

## 2007

- Relational Data Pre-Processing Techniques for Improved Securities Fraud Detection (KDD 2007)
  - Andrew S. Fast, Lisa Friedland, Marc E. Maier, Brian J. Taylor, David D. Jensen, Henry G. Goldberg, John Komoroske
  - [Paper]
- Uncovering Fraud in Direct Marketing Data with a Fraud Auditing Case Builder (PKDD 2007)
  - Fletcher Lu
  - [Paper]
- Netprobe: A Fast and Scalable System for Fraud Detection in Online Auction Networks (WWW 2007)
  - Shashank Pandit, Duen Horng Chau, Samuel Wang, Christos Faloutsos
  - [Paper]

## 2006

- Data Mining Approaches to Criminal Career Analysis (ICDM 2006)
  - Jeroen S. De Bruin, Tim K. Cocx, Walter A. Kosters, Jeroen F. J. Laros, Joost N. Kok
  - [Paper]
- Large Scale Detection of Irregularities in Accounting Data (ICDM 2006)
  - Stephen Bay, Krishna Kumaraswamy, Markus G. Anderle, Rohit Kumar, David M. Steier
  - [Paper]
- Camouflaged Fraud Detection in Domains with Complex Relationships (KDD 2006)
  - Sankar Virdhagriswaran, Gordon Dakin
  - [Paper]
- Detecting Fraudulent Personalities in Networks of Online Auctioneers (PKDD 2006)
  - Duen Horng Chau, Shashank Pandit, Christos Faloutsos
  - [Paper]

## 2005

- Technologies to Defeat Fraudulent Schemes Related to Email Requests (AAAI 2005)
  - Edoardo Airoldi, Bradley Malin, and Latanya Sweeney
  - [Paper]
- AI Technologies to Defeat Identity Theft Vulnerabilities (AAAI 2005)
  - Latanya Sweeney
  - [Paper]
- Detecting Fraud in Health Insurance Data: Learning to Model Incomplete Benford’s Law Distributions (ECML 2005)
  - Fletcher Lu, J. Efrim Boritz
  - [Paper]
- Using Relational Knowledge Discovery to Prevent Securities Fraud (KDD 2005)
  - Jennifer Neville, Özgür Simsek, David D. Jensen, John Komoroske, Kelly Palmer, Henry G. Goldberg
  - [Paper]

## 2003

- Applying Data Mining in Investigating Money Laundering Crimes (KDD 2003)
  - Zhongfei (Mark) Zhang, John J. Salerno, Philip S. Yu
  - [Paper]

## 2000

- Document Classification and Visualisation to Support the Investigation of Suspected Fraud (PKDD 2000)
  - Johan Hagman, Domenico Perrotta, Ralf Steinberger, and Aristi de Varfis
  - [Paper]

## 1999

- Statistical Challenges to Inductive Inference in Linked Data. (AISTATS 1999)
  - David Jensen
  - [Paper]

## 1998

- Toward Scalable Learning with Non-Uniform Class and Cost Distributions: A Case Study in Credit Card Fraud Detection (KDD 1998)
  - Phillip K Chan, Salvatore J Stolfo
  - [Paper]
- Call-Based Fraud Detection in Mobile Communication Networks Using a Hierarchical Regime-Switching Model (NIPS 1998)
  - Jaakko Hollmén, Volker Tresp
  - [Paper]

## 1997

- Detection of Mobile Phone Fraud Using Supervised Neural Networks: A First Prototype (ICANN 1997)
  - Yves Moreau, Herman Verrelst, Joos Vandewalle
  - [Paper]
- Prospective Assessment of AI Technologies for Fraud Detection: A Case Study (AAAI 1997)
  - David Jensen
  - [Paper]
- Credit Card Fraud Detection Using Meta-Learning: Issues and Initial Results (AAAI 1997)
  - Salvatore J. Stolfo, David W. Fan, Wenke Lee and Andreas L. Prodromidis
  - [Paper]

## 1995

- Fraud: Uncollectible Debt Detection Using a Bayesian Network Based Learning System: A Rare Binary Outcome with Mixed Data Structures (UAI 1995)
  - Kazuo J. Ezawa, Til Schuermann
  - [Paper]

License

- CC0 Universal