fraud detection

Semi-supervised Credit Card Fraud Detection via Attribute-Driven Graph Representation AAAI 2023 TgrApp: Anomaly Detection and Visualization of Large-Scale Call Graphs AAAI 2023 Chartalist: Labeled Graph Datasets for UTXO and Account-based Blockchains NeurIPS 2022 DGraph: A Large-Scale Financial Dataset for Graph Anomaly Detection NeurIPS 2022 Knowledge Sharing via Domain Adaptation in Customs Fraud Detection AAAI 2022 The Importance of Future Information in Credit Card Fraud Detection AISTATS 2022 Turning the Tables: Biased, Imbalanced, Dynamic Tabular Datasets for ML Evaluation NeurIPS 2022 AugSplicing: Synchronized Behavior Detection in Streaming Tensors AAAI 2021 Finding Needles in Heterogeneous Haystacks AAAI 2021 Identifying Hijacked Reviews ACL 2021 IFDDS: An Anti-fraud Outbound Robot AAAI 2021 Modeling the Field Value Variations and Field Interactions Simultaneously for Fraud Detection AAAI 2021 Online Credit Payment Fraud Detection via Structure-Aware Hierarchical Recurrent Neural Network IJCAI 2021 Positive-Unlabeled Learning from Imbalanced Data IJCAI 2021 Semi-Supervised Node Classification on Graphs: Markov Random Fields vs. Graph Neural Networks AAAI 2021 Collaboration Based Multi-Label Propagation for Fraud Detection IJCAI 2020 Federated Meta-Learning for Fraudulent Credit Card Detection IJCAI 2020 Finding Needles in a Moving Haystack: Prioritizing Alerts with Adversarial Reinforcement Learning AAAI 2020 Inferring about fraudulent collusion risk on Brazilian public works contracts in official texts using a Bi-LSTM approach EMNLP 2020 Spatio-Temporal Attention-Based Neural Network for Credit Card Fraud Detection AAAI 2020 The Behavioral Sign of Account Theft: Realizing Online Payment Fraud Alert IJCAI 2020 Cash-Out User Detection Based on Attributed Heterogeneous Information Network with a Hierarchical Attention Mechanism AAAI 2019 Discovering Temporal Patterns from Insurance Interaction Data AAAI 2019 One-Class Adversarial Nets for Fraud Detection AAAI 2019 SAFE: A Neural Survival Analysis Model for Fraud Early Detection AAAI 2019