Sequence As Genes: An User Behavior Modeling Framework for Fraud Transaction Detection in E-commerce

Author:

Wang Ziming1ORCID,Wu Qianru1ORCID,Zheng Baolin1ORCID,Wang Junjie1ORCID,Huang Kaiyu1ORCID,Shi Yanjie1ORCID

Affiliation:

1. Alibaba Group, Beijing, China

Publisher

ACM

Reference40 articles.

1. Siddhartha Bhattacharyya , Sanjeev Jha , Kurian Tharakunnel , and J Christopher Westland . 2011. Data Mining for Credit Card Fraud: A Comparative Study. Decision support systems 50, 3 ( 2011 ), 602--613. Siddhartha Bhattacharyya, Sanjeev Jha, Kurian Tharakunnel, and J Christopher Westland. 2011. Data Mining for Credit Card Fraud: A Comparative Study. Decision support systems 50, 3 (2011), 602--613.

2. Statistical Fraud Detection: A Review

3. Interleaved Sequence RNNs for Fraud Detection

4. Ting Chen , Simon Kornblith , Mohammad Norouzi , and Geoffrey Hinton . 2020 . A Simple Framework for Contrastive Learning of Visual Representations . In Proceedings of International conference on machine learning. 1597--1607 . Ting Chen, Simon Kornblith, Mohammad Norouzi, and Geoffrey Hinton. 2020. A Simple Framework for Contrastive Learning of Visual Representations. In Proceedings of International conference on machine learning. 1597--1607.

5. Big Self-supervised Models Are Strong Semi-supervised Learners;Chen Ting;Advances in Neural Information Processing Systems,2020

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1. VecAug: Unveiling Camouflaged Frauds with Cohort Augmentation for Enhanced Detection;Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining;2024-08-24

2. InvMetrics: Measuring Privacy Risks for Split Model–Based Customer Behavior Analysis;IEEE Transactions on Consumer Electronics;2024-02

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