# Awesome Fraud Detection Research Papers. [](https://github.com/sindresorhus/awesome) [](http://makeapullrequest.com) [](https://github.com/benedekrozemberczki/awesome-fraud-detection-papers/archive/master.zip)  [](https://twitter.com/intent/follow?screen_name=benrozemberczki)

A curated list of fraud detection papers from the following conferences: - Network Science * [ASONAM](http://asonam.cpsc.ucalgary.ca/2019/) * [COMPLEX NETWORKS](https://www.complexnetworks.org/) - Data Science * [DSAA](http://dsaa2019.dsaa.co/) - Natural Language Processing * [ACL](http://www.acl2019.org/EN/index.xhtml) - Data Mining * [KDD](https://www.kdd.org/) * [ICDM](http://icdm2019.bigke.org/) * [SIGIR](https://sigir.org/) * [SDM](https://www.siam.org/conferences/cm/conference/sdm20) * [WWW](https://www2019.thewebconf.org/) * [CIKM](http://www.cikmconference.org/) - Artificial Intelligence * [AAAI](https://www.aaai.org/) * [AISTATS](http://www.auai.org/) * [IJCAI](https://www.ijcai.org/) * [UAI](http://www.auai.org/) - Databases * [VLDB](http://www.vldb.org/) Similar collections about [graph classification](https://github.com/benedekrozemberczki/awesome-graph-classification), [classification/regression tree](https://github.com/benedekrozemberczki/awesome-decision-tree-papers), [gradient boosting](https://github.com/benedekrozemberczki/awesome-gradient-boosting-papers), [Monte Carlo tree search](https://github.com/benedekrozemberczki/awesome-monte-carlo-tree-search-papers), and [community detection](https://github.com/benedekrozemberczki/awesome-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]](https://doi.org/10.1109/TKDE.2023.3272396) - **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]](https://www.xiangshengcloud.top/publication/semi-supervised-credit-card-fraud-detection-via-attribute-driven-graph-representation/Sheng-AAAI2023.pdf) - [[Code]](https://github.com/finint/antifraud) - **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]](https://dl.acm.org/doi/10.1145/3539597.3573022) - **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]](https://arxiv.org/abs/2302.10407) - **BERT4ETH: A Pre-trained Transformer for Ethereum Fraud Detection (WWW 2023)** - Sihao Hu, Zhen Zhang, Bingqiao Luo, Shengliang Lu, Bingsheng He, Ling Liu - [[Paper]](https://arxiv.org/abs/2303.18138) ## 2022 - **The Importance of Future Information in Credit Card Fraud Detection (AISTATS 2022)** - Van Bach Nguyen, Kanishka Ghosh Dastidar, Michael Granitzer, Wissam Siblini - [[Paper]](https://arxiv.org/abs/2204.05265) - **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]](https://arxiv.org/abs/2205.13084) - **Dual-Augment Graph Neural Network for Fraud Detection (CIKM 2022)** - Qiutong Li, Yanshen He, Cong Xu, Feng Wu, Jianliang Gao, Zhao Li - [[Paper]](https://dl.acm.org/doi/10.1145/3511808.3557586) - **Explainable Graph-based Fraud Detection via Neural Meta-graph Search (CIKM 2022)** - Zidi Qin, Yang Liu, Qing He, Xiang Ao - [[Paper]](https://dl.acm.org/doi/abs/10.1145/3511808.3557598) - **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]](https://dl.acm.org/doi/abs/10.1145/3511808.3557641) - **User Behavior Pre-training for Online Fraud Detection (KDD 2022)** - Can Liu, Yuncong Gao, Li Sun, Jinghua Feng, Hao Yang, Xiang Ao - [[Paper]](https://dl.acm.org/doi/abs/10.1145/3534678.3539126) - **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]](https://dl.acm.org/doi/abs/10.1145/3534678.3542603) - **A View into YouTube View Fraud (WWW 2022)** - Dhruv Kuchhal, Frank Li - [[Paper]](https://dl.acm.org/doi/10.1145/3485447.3512216) - **Beyond Bot Detection: Combating Fraudulent Online Survey Takers (WWW 2022)** - Ziyi Zhang, Shuofei Zhu, Jaron Mink, Aiping Xiong, Linhai Song, Gang Wang - [[Paper]](https://gangw.cs.illinois.edu/www22-bot.pdf) - **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]](https://ponderly.github.io/pub/AOGNN_WWW2022.pdf) - **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]](https://dl.acm.org/doi/10.1145/3485447.3512195) - **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]](https://ieeexplore.ieee.org/document/9695316/) - [[Code]](https://github.com/Seondong/Customs-Fraud-Detection) - **Knowledge Sharing via Domain Adaptation in Customs Fraud Detection (AAAI 2022)** - Sungwon Park, Sundong Kim, Meeyoung Cha - [[Paper]](https://arxiv.org/abs/2201.06759) ## 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]](https://ojs.aaai.org/index.php/AAAI/article/view/16582) - **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]](https://arxiv.org/abs/2008.05600) - **IFDDS: An Anti-fraud Outbound Robot (AAAI 2021)** - Zihao Wang, Minghui Yang, Chunxiang Jin, Jia Liu, Zujie Wen, Saishuai Liu, Zhe Zhang - [[Paper]](https://ojs.aaai.org/index.php/AAAI/article/view/18030) - **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]](https://dl.acm.org/doi/abs/10.1145/3459637.3482277) - **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]](https://gcatnjust.github.io/ChenGong/paper/zhang_cikm21.pdf) - **Adversarial Reprogramming of Pretrained Neural Networks for Fraud Detection (CIKM 2021)** - Lingwei Chen, Yujie Fan, Yanfang Ye - [[Paper]](https://dl.acm.org/doi/abs/10.1145/3459637.3482053) - **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]](https://arxiv.org/abs/2108.08676) - **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]](https://dl.acm.org/doi/abs/10.1145/3459637.3481906) - **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]](https://www.ijcai.org/proceedings/2021/505) - **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]](https://dl.acm.org/doi/10.1145/3447548.3467142) - **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]](https://dl.acm.org/doi/abs/10.1145/3447548.3467065) - **Customs Fraud Detection in the Presence of Concept Drift (IncrLearn@ICDM 2021)** - Tung-Duong Mai, Kien Hoang, Aitolkyn Baigutanova, Gaukhartas Alina, Sundong Kim - [[Paper]](https://arxiv.org/abs/2109.14155) - **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]](https://dl.acm.org/doi/abs/10.1145/3442381.3449989) ## 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]](https://aaai.org/Papers/AAAI/2020GB/AISI-ChengD.87.pdf) - **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]](https://shenghua-liu.github.io/papers/aaai2020cr-flowscope.pdf) - [[Code]](https://github.com/aplaceof/FlowScope) - **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]](https://arxiv.org/abs/2008.08692) - [[Code]](https://github.com/YingtongDou/CARE-GNN) - **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]](https://www.researchgate.net/publication/343626706_Loan_Default_Analysis_with_Multiplex_Graph_Learning) - **Error-Bounded Graph Anomaly Loss for GNNs (CIKM 2020)** - Tong Zhao, Chuchen Deng, Kaifeng Yu, Tianwen Jiang, Daheng Wang, Meng Jiang - [[Paper]](http://www.meng-jiang.com/pubs/gal-cikm20/gal-cikm20-paper.pdf) - [[Code]](https://github.com/zhao-tong/Graph-Anomaly-Loss) - **BotSpot: A Hybrid Learning Framework to Uncover Bot Install Fraud in Mobile Advertising (CIKM 2020)** - Tianjun Yao, Qing Li, Shangsong Liang, Yadong Zhu - [[Paper]](https://dl.acm.org/doi/pdf/10.1145/3340531.3412690) - [[Code]](https://github.com/akakeigo2020/CIKM-Applied_Research-2150) - **Early Fraud Detection with Augmented Graph Learning (DLG@KDD 2020)** - Tong Zhao, Bo Ni, Wenhao Yu, Meng Jiang - [[Paper]](http://www.meng-jiang.com/pubs/earlyfraud-dlg20/earlyfraud-dlg20-paper.pdf) - **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]](https://www.computer.org/csdl/proceedings-article/icdm/2020/831600a092/1r54A3Sb2yk) - **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]](https://cs.nju.edu.cn/liyf/paper/icdm20-hmgnn.pdf) - **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]](https://www.ijcai.org/Proceedings/2020/343) - **The Behavioral Sign of Account Theft: Realizing Online Payment Fraud Alert (IJCAI 2020)** - Cheng Wang - [[Paper]](https://www.ijcai.org/Proceedings/2020/0636.pdf) - **Federated Meta-Learning for Fraudulent Credit Card Detection (IJCAI 2020)** - Wenbo Zheng, Lan Yan, Chao Gou, Fei-Yue Wang - [[Paper]](https://www.ijcai.org/Proceedings/2020/642) - **Robust Spammer Detection by Nash Reinforcement Learning (KDD 2020)** - Yingtong Dou, Guixiang Ma, Philip S. Yu, Sihong Xie - [[Paper]](https://arxiv.org/abs/2006.06069) - [[Code]](https://github.com/YingtongDou/Nash-Detect) - **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]](https://seondong.github.io/assets/papers/2020_KDD_DATE.pdf) - [[Code]](https://github.com/Roytsai27/Dual-Attentive-Tree-aware-Embedding) - **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]](https://dl.acm.org/doi/pdf/10.1145/3394486.3403354) - **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]](https://arxiv.org/abs/2002.05988) - **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]](https://arxiv.org/abs/2005.10150) - **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]](https://arxiv.org/abs/2005.00625) - [[Code]](https://github.com/safe-graph/DGFraud) - **Friend or Faux: Graph-Based Early Detection of Fake Accounts on Social Networks (WWW 2020)** - Adam Breuer, Roee Eilat, Udi Weinsberg - [[Paper]](https://arxiv.org/abs/2004.04834) - **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]](https://dl.acm.org/doi/abs/10.1145/3366423.3380159) - **ASA: Adversary Situation Awareness via Heterogeneous Graph Convolutional Networks (WWW 2020)** - Rui Wen, Jianyu Wang, Chunming Wu, Jian Xiong - [[Paper]](https://dl.acm.org/doi/10.1145/3366424.3391266) - **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]](https://dl.acm.org/doi/fullHtml/10.1145/3366423.3380172) ## 2019 - **SliceNDice: Mining Suspicious Multi-attribute Entity Groups with Multi-view Graphs (DSAA 2019)** - Hamed Nilforoshan, Neil Shah - [[Paper]](https://arxiv.org/abs/1908.07087) - [[Code]](https://github.com/hamedn/SliceNDice) - **FARE: Schema-Agnostic Anomaly Detection in Social Event Logs (DSAA 2019)** - Neil Shah - [[Paper]](http://nshah.net/publications/FARE.DSAA.19.pdf) - **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]](https://aaai.org/ojs/index.php/AAAI/article/view/3884) - [[Code]](https://github.com/safe-graph/DGFraud) - **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]](https://arxiv.org/abs/1802.00910) - [[Code]](https://github.com/safe-graph/DGFraud) - **SAFE: A Neural Survival Analysis Model for Fraud Early Detection (AAAI 2019)** - Panpan Zheng, Shuhan Yuan, Xintao Wu - [[Paper]](https://arxiv.org/abs/1809.04683v2) - [[Code]](https://github.com/PanpanZheng/SAFE) - **One-Class Adversarial Nets for Fraud Detection (AAAI 2019)** - Panpan Zheng, Shuhan Yuan, Xintao Wu, Jun Li, Aidong Lu - [[Paper]](https://arxiv.org/abs/1803.01798) - [[Code]](https://github.com/ILoveAI2019/OCAN) - **Uncovering Download Fraud Activities in Mobile App Markets (ASONAM 2019)** - Yingtong Dou, Weijian Li, Zhirong Liu, Zhenhua Dong, Jiebo Luo, Philip S. Yu - [[Paper]](https://arxiv.org/pdf/1907.03048.pdf) - **Spam Review Detection with Graph Convolutional Networks (CIKM 2019)** - Ao Li, Zhou Qin, Runshi Liu, Yiqun Yang, Dong Li - [[Paper]](https://arxiv.org/abs/1908.10679) - [[Code]](https://github.com/safe-graph/DGFraud) - **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]](http://mason.gmu.edu/~lzhao9/materials/papers/lp0110-zhangA.pdf) - [[Code]](https://github.com/safe-graph/DGFraud) - **CatchCore: Catching Hierarchical Dense Subtensor (ECML-PKDD 2019)** - Wenjie Feng, Shenghua Liu, Huawei Shen, and Xueqi Cheng - [[Paper]](https://shenghua-liu.github.io/papers/pkdd2019-catchcore.pdf) - [[Code]](https://github.com/wenchieh/catchcore) - **Spotting Collective Behaviour of Online Frauds in Customer Reviews (IJCAI 2019)** - Sarthika Dhawan, Siva Charan Reddy Gangireddy, Shiv Kumar, Tanmoy Chakraborty - [[Paper]](https://arxiv.org/abs/1905.13649) - [[Code]](https://github.com/LCS2-IIITD/DeFrauder) - **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]](https://arxiv.org/abs/2003.01171) - [[Code]](https://github.com/safe-graph/DGFraud) - **EigenPulse: Detecting Surges in Large Streaming Graphs with Row Augmentation (PAKDD 2019)** - Jiabao Zhang, Shenghua Liu, Wenjian Yu, Wenjie Feng, Xueqi Cheng - [[Paper]](https://shenghua-liu.github.io/papers/pakdd2019-eigenpulse.pdf) - **Uncovering Insurance Fraud Conspiracy with Network Learning (SIGIR 2019)** - Chen Liang, Ziqi Liu, Bin Liu, Jun Zhou, Xiaolong Li, Shuang Yang, Yuan Qi - [[Paper]](https://dl.acm.org/citation.cfm?id=3331372) - **A Contrast Metric for Fraud Detection in Rich Graphs (TKDE 2019)** - Shenghua Liu, Bryan Hooi, Christos Faloutsos - [[Paper]](https://shenghua-liu.github.io/papers/tkde2019-constrastsusp_holoscope.pdf) - **Think Outside the Dataset: Finding Fraudulent Reviews using Cross-Dataset Analysis (WWW 2019)** - Shirin Nilizadeh, Hojjat Aghakhani, Eric Gustafson, Christopher Kruegel, Giovanni Vigna - [[Paper]](https://www.researchgate.net/publication/333060486_Think_Outside_the_Dataset_Finding_Fraudulent_Reviews_using_Cross-Dataset_Analysis) - **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]](https://www.ntu.edu.sg/home/boan/papers/WWW19.pdf) - **No Place to Hide: Catching Fraudulent Entities in Tensors (WWW 2019)** - Yikun Ban, Xin Liu, Ling Huang, Yitao Duan, Xue Liu, Wei Xu - [[Paper]](https://arxiv.org/pdf/1810.06230.pdf) - **FdGars: Fraudster Detection via Graph Convolutional Networks in Online App Review System (WWW 2019)** - Rui Wen, Jianyu Wang and Yu Huang - [[Paper]](https://dl.acm.org/citation.cfm?id=3316586) - [[Code]](https://github.com/safe-graph/DGFraud) ## 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]](https://dl.acm.org/doi/10.1145/3269206.3272010) - [[Code]](https://github.com/safe-graph/DGFraud) - **Reinforcement Mechanism Design for Fraudulent Behaviour in e-Commerce (AAAI 2018)** - Qingpeng Cai, Aris Filos-Ratsikas, Pingzhong Tang, Yiwei Zhang - [[Paper]](https://aaai.org/ocs/index.php/AAAI/AAAI18/paper/view/16650) - **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]](https://aaai.org/ocs/index.php/AAAI/AAAI18/paper/view/16183/16394) - **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]](https://www.aclweb.org/anthology/P18-4007) - **Preserving Privacy of Fraud Detection Rule Sharing Using Intel's SGX (CIKM 2018)** - Daniel Deutch, Yehonatan Ginzberg, Tova Milo - [[Paper]](https://www.researchgate.net/publication/328439345_Preserving_Privacy_of_Fraud_Detection_Rule_Sharing_Using_Intel%27s_SGX) - **Deep Structure Learning for Fraud Detection (ICDM 2018)** - Haibo Wang, Chuan Zhou, Jia Wu, Weizhen Dang, Xingquan Zhu, Jilong Wang - [[Paper]](https://www.researchgate.net/publication/330030140_Deep_Structure_Learning_for_Fraud_Detection) - **Learning Sequential Behavior Representations for Fraud Detection (ICDM 2018)** - Jia Guo, Guannan Liu, Yuan Zuo, Junjie Wu - [[Paper]](https://www.researchgate.net/publication/330028902_Learning_Sequential_Behavior_Representations_for_Fraud_Detection) - **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]](https://www.ijcai.org/proceedings/2018/0548.pdf) - **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]](https://www.kdd.org/kdd2018/accepted-papers/view/tax-fraud-detection-for-under-reporting-declarations-using-an-unsupervised-) - **Collective Fraud Detection Capturing Inter-Transaction Dependency (KDD 2018)** - Bokai Cao, Mia Mao, Siim Viidu, Philip Yu - [[Paper]](http://proceedings.mlr.press/v71/cao18a.html) - **Fraud Detection with Density Estimation Trees (KDD 2018)** - Fraud Detection with Density Estimation Trees - [[Paper]](http://proceedings.mlr.press/v71/ram18a/ram18a.pdf) - **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]](http://www.vldb.org/pvldb/vol11/p1876-qiu.pdf) - **REV2: Fraudulent User Prediction in Rating Platforms (WSDM 2018)** - Srijan Kumar, Bryan Hooi, Disha Makhija, Mohit Kumar, Christos Faloutsos, V. S. Subrahmanian - [[Paper]](https://cs.stanford.edu/~srijan/pubs/rev2-wsdm18.pdf) - [[Code]](https://cs.stanford.edu/~srijan/rev2/) - **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]](https://www.securitee.org/files/tss_www2018.pdf) ## 2017 - **ZooBP: Belief Propagation for Heterogeneous Networks (VLDB 2017)** - Dhivya Eswaran, Stephan Gunnemann, Christos Faloutsos, Disha Makhija, Mohit Kumar - [[Paper]](http://www.vldb.org/pvldb/vol10/p625-eswaran.pdf) - [[Code]](https://github.com/safe-graph/UGFraud) - **Behavioral Analysis of Review Fraud: Linking Malicious Crowdsourcing to Amazon and Beyond (AAAI 2017)** - Parisa Kaghazgaran, James Caverlee, Majid Alfifi - [[Paper]](https://aaai.org/ocs/index.php/ICWSM/ICWSM17/paper/view/15659) - **Detection of Money Laundering Groups: Supervised Learning on Small Networks (AAAI 2017)** - David Savage, Qingmai Wang, Xiuzhen Zhang, Pauline Chou, Xinghuo Yu - [[Paper]](https://arxiv.org/pdf/1608.00708.pdf) - **Spectrum-based Deep Neural Networks for Fraud Detection (CIKM 2017)** - Shuhan Yuan, Xintao Wu, Jun Li, Aidong Lu - [[Paper]](https://arxiv.org/abs/1706.00891) - **HoloScope: Topology-and-Spike Aware Fraud Detection (CIKM 2017)** - Shenghua Liu, Bryan Hooi, Christos Faloutsos - [[Paper]](https://arxiv.org/abs/1705.02505) - **The Many Faces of Link Fraud (ICDM 2017)** - Neil Shah, Hemank Lamba, Alex Beutel, Christos Faloutsos - [[Paper]](https://arxiv.org/abs/1704.01420) - **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]](https://arxiv.org/abs/1709.04129) - **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]](https://ieeexplore.ieee.org/document/8215519) - [[Code]](https://github.com/safe-graph/UGFraud) - **Improving Card Fraud Detection Through Suspicious Pattern Discovery (IEA/AIE 2017)** - Fabian Braun, Olivier Caelen, Evgueni N. Smirnov, Steven Kelk, Bertrand Lebichot: - [[Paper]](http://www.oliviercaelen.be/doc/GBSSCCFDS.pdf) - **Online Reputation Fraud Campaign Detection in User Ratings (IJCAI 2017)** - Chang Xu, Jie Zhang, Zhu Sun - [[Paper]](https://www.ijcai.org/proceedings/2017/0541.pdf) - **Uncovering Unknown Unknowns in Financial Services Big Data by Unsupervised Methodologies: Present and Future trends (KDD 2017)** - Gil Shabat, David Segev, Amir Averbuch - [[Paper]](http://proceedings.mlr.press/v71/shabat18a.html) - **PD-FDS: Purchase Density based Online Credit Card Fraud Detection System (KDD 2017)** - Youngjoon Ki, Ji Won Yoon - [[Paper]](http://proceedings.mlr.press/v71/ki18a/ki18a.pdf) - **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]](http://www.public.asu.edu/~hdavulcu/SDM17.pdf) ## 2016 - **A Fraud Resilient Medical Insurance Claim System (AAAI 2016)** - Yuliang Shi, Chenfei Sun, Qingzhong Li, Lizhen Cui, Han Yu, Chunyan Miao - [[Paper]](https://www.aaai.org/ocs/index.php/AAAI/AAAI16/paper/view/11813) - **A Graph-Based, Semi-Supervised, Credit Card Fraud Detection System (COMPLEX NETWORKS 2016)** - Bertrand Lebichot, Fabian Braun, Olivier Caelen, Marco Saerens - [[Paper]](http://www.oliviercaelen.be/doc/IEAAIE_2017_Finalversion-PDF_39.pdf) - **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]](https://www.andrew.cmu.edu/user/bhooi/papers/fraudar_kdd16.pdf) - [[Code]](https://github.com/safe-graph/UGFraud) - **Identifying Anomalies in Graph Streams Using Change Detection (KDD 2016)** - William Eberle and Lawrence Holde - [[Paper]](http://www.mlgworkshop.org/2016/paper/MLG2016_paper_12.pdf) - **FairPlay: Fraud and Malware Detection in Google Play (SDM 2016)** - Mahmudur Rahman, Mizanur Rahman, Bogdan Carbunar, Duen Horng Chau - [[Paper]](https://arxiv.org/abs/1703.02002) - **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]](https://www.andrew.cmu.edu/user/bhooi/papers/birdnest_sdm16.pdf) - **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]](https://dl.acm.org/citation.cfm?id=2882980) ## 2015 - **Toward An Intelligent Agent for Fraud Detection — The CFE Agent (AAAI 2015)** - Joe Johnson - [[Paper]](https://www.aaai.org/ocs/index.php/FSS/FSS15/paper/download/11664/11485) - **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]](https://pdfs.semanticscholar.org/1ea7/125b789ef938bffe10c7588e6b071c4ff73c.pdf) - **Robust System for Identifying Procurement Fraud (AAAI 2015)** - Amit Dhurandhar, Rajesh Kumar Ravi, Bruce Graves, Gopikrishnan Maniachari, Markus Ettl - [[Paper]](https://pdfs.semanticscholar.org/27af/c9ec453ae0cf9e55f4032ff688cb70c2a61e.pdf) - **Fraud Transaction Recognition: A Money Flow Network Approach (CIKM 2015)** - Renxin Mao, Zhao Li, Jinhua Fu - [[Paper]](https://dl.acm.org/citation.cfm?id=2806647) - **Towards Collusive Fraud Detection in Online Reviews (ICDM 2015)** - Chang Xu, Jie Zhang - [[Paper]](https://ieeexplore.ieee.org/document/7373434) - **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]](https://www.ijcai.org/Proceedings/15/Papers/341.pdf) - **Collective Opinion Spam Detection: Bridging Review Networks and Metadata (KDD 2015)** - Shebuti Rayana, Leman Akoglu - [[Paper]](https://www.andrew.cmu.edu/user/lakoglu/pubs/15-kdd-collectiveopinionspam.pdf) - [[Code]](https://github.com/safe-graph/UGFraud) - **Graph-Based User Behavior Modeling: From Prediction to Fraud Detection (KDD 2015)** - Alex Beutel, Leman Akoglu, Christos Faloutsos - [[Paper]](https://www.cs.cmu.edu/~abeutel/kdd2015_tutorial/tutorial.pdf) - **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]](http://repository.ncku.edu.tw/bitstream/987654321/166322/1/4010204000-000004_1.pdf) - **A Framework for Intrusion Detection Based on Frequent Subgraph Mining (SDM 2015)** - Vitali Herrera-Semenets, Niusvel Acosta-Mendoza, Andres Gago-Alonso - [[Paper]](https://www.researchgate.net/publication/271839253_A_Framework_for_Intrusion_Detection_based_on_Frequent_Subgraph_Mining) - **Crowd Fraud Detection in Internet Advertising (WWW 2015)** - Tian Tian, Jun Zhu, Fen Xia, Xin Zhuang, Tong Zhang - [[Paper]](http://www.www2015.it/documents/proceedings/proceedings/p1100.pdf) ## 2014 - **Spotting Suspicious Link Behavior with fBox: An Adversarial Perspective (ICDM 2014)** - Neil Shah, Alex Beutel, Brian Gallagher, Christos Faloutsos - [[Paper]](https://arxiv.org/pdf/1410.3915.pdf) - [[Code]](https://github.com/safe-graph/UGFraud) - **Fraudulent Support Telephone Number Identification Based on Co-Occurrence Information on the Web (AAAI 2014)** - Xin Li, Yiqun Liu, Min Zhang, Shaoping Ma - [[Paper]](https://pdfs.semanticscholar.org/2733/1f48c87736ea12b9edec062e384d3bd58f88.pdf) - **Corporate Residence Fraud Detection (KDD 2014)** - Enric Junqué de Fortuny, Marija Stankova, Julie Moeyersoms, Bart Minnaert, Foster J. Provost, David Martens - [[Paper]](http://delivery.acm.org/10.1145/2630000/2623333/p1650-fortuny.pdf?ip=129.215.164.203&id=2623333&acc=ACTIVE%20SERVICE&key=C2D842D97AC95F7A%2EEB9E991028F4E1F1%2E4D4702B0C3E38B35%2E4D4702B0C3E38B35&__acm__=1559048806_f1a6f763ef7088a4fb4b1a4ff94856f8) - **Graphical Models for Identifying Fraud and Waste in Healthcare Claims (SDM 2014)** - Peder A. Olsen, Ramesh Natarajan, Sholom M. Weiss - [[Paper]](https://epubs.siam.org/doi/abs/10.1137/1.9781611973440.66) - **Improving Credit Card Fraud Detection with Calibrated Probabilities (SDM 2014)** - Alejandro Correa Bahnsen, Aleksandar Stojanovic, Djamila Aouada, Björn E. Ottersten - [[Paper]](https://pdfs.semanticscholar.org/9241/ef2a2f6638eafeffd0056736c0f46f9aa083.pdf) - **Large Graph Mining: Patterns, Cascades, Fraud Detection, and Algorithms (WWW 2014)** - Christos Faloutsos - [[Paper]](http://wwwconference.org/proceedings/www2014/proceedings/p1.pdf) ## 2013 - **Opinion Fraud Detection in Online Reviews by Network Effects (AAAI 2013)** - Leman Akoglu, Rishi Chandy, Christos Faloutsos - [[Paper]](https://www.researchgate.net/publication/279905898_Opinion_fraud_detection_in_online_reviews_by_network_effects) - **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]](https://ieeexplore.ieee.org/document/6785796) - **Ranking Fraud Detection for Mobile Apps: a Holistic View (CIKM 2013)** - Hengshu Zhu, Hui Xiong, Yong Ge, Enhong Chen - [[Paper]](http://dm.ustc.edu.cn/zhu-cikm13.pdf) - **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]](http://chbrown.github.io/kdd-2013-usb/kdd/p1240.pdf) - **Adaptive Adversaries: Building Systems to Fight Fraud and Cyber Intruders (KDD 2013)** - Ari Gesher - [[Paper]](https://dl.acm.org/citation.cfm?id=2491134) - **Anomaly, Event, and Fraud Detection in Large Network Datasets (WSDM 2013)** - Leman Akoglu, Christos Faloutsos - [[Paper]](https://www.andrew.cmu.edu/user/lakoglu/wsdm13/13-wsdm-tutorial.pdf) ## 2012 - **Fraud Detection: Methods of Analysis for Hypergraph Data (ASONAM 2012)** - Anna Leontjeva, Konstantin Tretyakov, Jaak Vilo, and Taavi Tamkivi - [[Paper]](https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=6425618) - **Online Modeling of Proactive Moderation System for Auction Fraud Detection (WWW 2012)** - Liang Zhang, Jie Yang, Belle L. Tseng - [[Paper]](http://www.chennaisunday.com/Java%202012%20Base%20Paper/Online%20Modeling%20of%20Proactive%20Moderation%20System%20for%20Auction%20Fraud%20Detection.pdf) ## 2011 - **A Machine-Learned Proactive Moderation System for Auction Fraud Detection (CIKM 2011)** - Liang Zhang, Jie Yang, Wei Chu, Belle L. Tseng - [[Paper]](http://www.gatsby.ucl.ac.uk/~chuwei/paper/p2501-zhang.pdf) - **A Taxi Driving Fraud Detection System (ICDM 2011)** - Yong Ge, Hui Xiong, Chuanren Liu, Zhi-Hua Zhou - [[Paper]](https://ieeexplore.ieee.org/document/6137222) - **Utility-Based Fraud Detection (IJCAI 2011)** - Luís Torgo, Elsa Lopes - [[Paper]](https://www.ijcai.org/Proceedings/11/Papers/255.pdf) - **A Pattern Discovery Approach to Retail Fraud Detection (KDD 2011)** - Prasad Gabbur, Sharath Pankanti, Quanfu Fan, Hoang Trinh - [[Paper]](http://www2.engr.arizona.edu/~pgsangam/gabbur_kdd_11.pdf) ## 2010 - **Hunting for the Black Swan: Risk Mining from Text (ACL 2010)** - JL Leidner, F Schilder - [[Paper]](https://www.aclweb.org/anthology/P10-4010) - **Fraud Detection by Generating Positive Samples for Classification from Unlabeled Data (ACL 2010)** - Levente Kocsis, Andras George - [[Paper]](http://www.szit.bme.hu/~gya/publications/KocsisGyorgy.pdf) ## 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]](https://www.semanticscholar.org/paper/SVM-Based-Cost-sensitive-Classification-Algorithm-Zheng-Zou/bcae06626ccd453925ef040a1edb5cbb10b862ef) - **An Approach for Automatic Fraud Detection in the Insurance Domain (AAAI 2009)** - Alexander Widder, Rainer v. Ammon, Gerit Hagemann, Dirk Schönfeld - [[Paper]](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.325.3231&rep=rep1&type=pdf) ## 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]](https://dl.acm.org/citation.cfm?id=1281192.1281293) - **Uncovering Fraud in Direct Marketing Data with a Fraud Auditing Case Builder (PKDD 2007)** - Fletcher Lu - [[Paper]](https://link.springer.com/chapter/10.1007/978-3-540-74976-9_56) - **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]](http://www.cs.cmu.edu/~christos/PUBLICATIONS/netprobe-www07.pdf) ## 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]](https://ieeexplore.ieee.org/document/4053045) - **Large Scale Detection of Irregularities in Accounting Data (ICDM 2006)** - Stephen Bay, Krishna Kumaraswamy, Markus G. Anderle, Rohit Kumar, David M. Steier - [[Paper]](https://ieeexplore.ieee.org/document/4053036) - **Camouflaged Fraud Detection in Domains with Complex Relationships (KDD 2006)** - Sankar Virdhagriswaran, Gordon Dakin - [[Paper]](https://dl.acm.org/citation.cfm?id=1150532) - **Detecting Fraudulent Personalities in Networks of Online Auctioneers (PKDD 2006)** - Duen Horng Chau, Shashank Pandit, Christos Faloutsos - [[Paper]](http://www.cs.cmu.edu/~dchau/papers/auction_fraud_pkdd06.pdf) ## 2005 - **Technologies to Defeat Fraudulent Schemes Related to Email Requests (AAAI 2005)** - Edoardo Airoldi, Bradley Malin, and Latanya Sweeney - [[Paper]](http://www.aaai.org/Library/Symposia/Spring/2005/ss05-01-023.php) - **AI Technologies to Defeat Identity Theft Vulnerabilities (AAAI 2005)** - Latanya Sweeney - [[Paper]](https://dataprivacylab.org/dataprivacy/projects/idangel/paper1.pdf) - **Detecting Fraud in Health Insurance Data: Learning to Model Incomplete Benford's Law Distributions (ECML 2005)** - Fletcher Lu, J. Efrim Boritz - [[Paper]](https://faculty.uoit.ca/fletcherlu/LuECML05.pdf) - **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]](https://www.cs.purdue.edu/homes/neville/papers/neville-et-al-kdd2005.pdf) ## 2003 - **Applying Data Mining in Investigating Money Laundering Crimes (KDD 2003)** - Zhongfei (Mark) Zhang, John J. Salerno, Philip S. Yu - [[Paper]](https://pdfs.semanticscholar.org/9124/b61d48b7e52008c7fd5fac1b7eac38474581.pdf) ## 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]](https://pdfs.semanticscholar.org/9124/b61d48b7e52008c7fd5fac1b7eac38474581.pdf) ## 1999 - **Statistical Challenges to Inductive Inference in Linked Data. (AISTATS 1999)** - David Jensen - [[Paper]](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.589.1445&rep=rep1&type=pdf) ## 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]](https://pdfs.semanticscholar.org/6e19/3366945bf3bd72d5ba906e3982ac4d8ae874.pdf) - **Call-Based Fraud Detection in Mobile Communication Networks Using a Hierarchical Regime-Switching Model (NIPS 1998)** - Jaakko Hollmén, Volker Tresp - [[Paper]](https://papers.nips.cc/paper/1505-call-based-fraud-detection-in-mobile-communication-networks-using-a-hierarchical-regime-switching-model.pdf) ## 1997 - **Detection of Mobile Phone Fraud Using Supervised Neural Networks: A First Prototype (ICANN 1997)** - Yves Moreau, Herman Verrelst, Joos Vandewalle - [[Paper]](https://link.springer.com/content/pdf/10.1007%2FBFb0020294.pdf) - **Prospective Assessment of AI Technologies for Fraud Detection: A Case Study (AAAI 1997)** - David Jensen - [[Paper]](https://pdfs.semanticscholar.org/0efe/8a145cc4d52e8769bb1d13142326a154624f.pdf) - **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]](https://pdfs.semanticscholar.org/29b3/e330e0045e5da71cc1d333bed24b7a4670f8.pdf) ## 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]](https://arxiv.org/abs/1302.4945) --------------------------------------------------------------- **License** - [CC0 Universal](https://github.com/benedekrozemberczki/awesome-fraud-detection-papers/blob/master/LICENSE)