Cover Image

Dynamic Relation-Attentive Graph Neural Networks for Fraud Detection

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Kim, Heehyeon, Choi, Jinhyeok, Whang, Joyce Jiyoung
Format:	Preprint
Published:	2023
Subjects:	Machine Learning Artificial Intelligence Cryptography and Security I.2
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Unveiling the Threat of Fraud Gangs to Graph Neural Networks: Multi-Target Graph Injection Attacks Against GNN-Based Fraud Detectors
by: Choi, Jinhyeok, et al.
Published: (2024)

SpoT-Mamba: Learning Long-Range Dependency on Spatio-Temporal Graphs with Selective State Spaces
by: Choi, Jinhyeok, et al.
Published: (2024)

SCAFDS: Edge-Feature Graph Attention for Interbank Fraud Detection with Attribution-Grounded SAR Generation
by: Uddin, Mohammad Nasir
Published: (2026)

Q-AGNN: Quantum-Enhanced Attentive Graph Neural Network for Intrusion Detection
by: Chaudhary, Devashish, et al.
Published: (2026)

MalDataGen: A Modular Framework for Synthetic Tabular Data Generation in Malware Detection
by: Paim, Kayua Oleques, et al.
Published: (2025)

Efficient Preimage Approximation for Neural Network Certification
by: Björklund, Anton, et al.
Published: (2025)

A Novel Self-Attention-Enabled Weighted Ensemble-Based Convolutional Neural Network Framework for Distributed Denial of Service Attack Classification
by: S, Kanthimathi, et al.
Published: (2024)

Grad: Guided Relation Diffusion Generation for Graph Augmentation in Graph Fraud Detection
by: Yang, Jie, et al.
Published: (2025)

Financial Fraud Detection using Jump-Attentive Graph Neural Networks
by: Kadam, Prashank
Published: (2024)

Bypassing LLM Guardrails: An Empirical Analysis of Evasion Attacks against Prompt Injection and Jailbreak Detection Systems
by: Hackett, William, et al.
Published: (2025)

Malice in Agentland: Down the Rabbit Hole of Backdoors in the AI Supply Chain
by: Boisvert, Léo, et al.
Published: (2025)

MalPurifier: Enhancing Android Malware Detection with Adversarial Purification against Evasion Attacks
by: Zhou, Yuyang, et al.
Published: (2023)

David and Goliath: An Empirical Evaluation of Attacks and Defenses for QNNs at the Deep Edge
by: Costa, Miguel, et al.
Published: (2024)

FedRLHF: A Convergence-Guaranteed Federated Framework for Privacy-Preserving and Personalized RLHF
by: Fan, Flint Xiaofeng, et al.
Published: (2024)

TrojanTime: Backdoor Attacks on Time Series Classification
by: Dong, Chang, et al.
Published: (2025)

Towards Independence Criterion in Machine Unlearning of Features and Labels
by: Han, Ling, et al.
Published: (2024)

Privacy-preserving Universal Adversarial Defense for Black-box Models
by: Li, Qiao, et al.
Published: (2024)

JavelinGuard: Low-Cost Transformer Architectures for LLM Security
by: Datta, Yash, et al.
Published: (2025)

Unlearning at Scale: Implementing the Right to be Forgotten in Large Language Models
by: X, Abdullah
Published: (2025)

MathLedger: A Verifiable Learning Substrate with Ledger-Attested Feedback
by: Abdullah, Ismail Ahmad
Published: (2025)

Revisiting the Performance of Deep Learning-Based Vulnerability Detection on Realistic Datasets
by: Chakraborty, Partha, et al.
Published: (2024)

Towards Quantum-Ready Blockchain Fraud Detection via Ensemble Graph Neural Networks
by: Haider, M. Z., et al.
Published: (2025)

Integrating Graph Neural Networks with Scattering Transform for Anomaly Detection
by: Zoubir, Abdeljalil, et al.
Published: (2024)

On the Vulnerability of Fairness Constrained Learning to Malicious Noise
by: Blum, Avrim, et al.
Published: (2023)

Exploiting Latent Space Discontinuities for Building Universal LLM Jailbreaks and Data Extraction Attacks
by: Paim, Kayua Oleques, et al.
Published: (2025)

On-Premise SLMs vs. Commercial LLMs: Prompt Engineering and Incident Classification in SOCs and CSIRTs
by: Almeida, Gefté, et al.
Published: (2025)

Synthetic Data: AI's New Weapon Against Android Malware
by: Nogueira, Angelo Gaspar Diniz, et al.
Published: (2025)

Diffuse or Confuse: A Diffusion Deepfake Speech Dataset
by: Firc, Anton, et al.
Published: (2024)

DeTrigger: A Gradient-Centric Approach to Backdoor Attack Mitigation in Federated Learning
by: Lee, Kichang, et al.
Published: (2024)

MEMSAD: Gradient-Coupled Anomaly Detection for Memory Poisoning in Retrieval-Augmented Agents
by: Gowda, Ishrith
Published: (2026)

Towards Deep Encrypted Training: Low-Latency, Memory-Efficient, and High-Throughput Inference for Privacy-Preserving Neural Networks
by: Njungle, Nges Brian, et al.
Published: (2026)

IoT-based Android Malware Detection Using Graph Neural Network With Adversarial Defense
by: Yumlembam, Rahul, et al.
Published: (2025)

Optimal Transport-Guided Adversarial Attacks on Graph Neural Network-Based Bot Detection
by: Mukherjee, Kunal, et al.
Published: (2026)

Scalable and Verifiable Federated Learning for Cross-Institution Financial Fraud Detection
by: Panth, Prajwal, et al.
Published: (2026)

Cross-LLM Generalization of Behavioral Backdoor Detection in AI Agent Supply Chains
by: Sanna, Arun Chowdary
Published: (2025)

SAND: A Self-supervised and Adaptive NAS-Driven Framework for Hardware Trojan Detection
by: Pan, Zhixin, et al.
Published: (2025)

BugSweeper: Function-Level Detection of Smart Contract Vulnerabilities Using Graph Neural Networks
by: Lee, Uisang, et al.
Published: (2025)

Secure Energy Transactions Using Blockchain Leveraging AI for Fraud Detection and Energy Market Stability
by: Khan, Md Asif Ul Hoq, et al.
Published: (2025)

Evaluating Query Efficiency and Accuracy of Transfer Learning-based Model Extraction Attack in Federated Learning
by: Ahamed, Sayyed Farid, et al.
Published: (2025)

When Graph Structure Becomes a Liability: A Critical Re-Evaluation of Graph Neural Networks for Bitcoin Fraud Detection under Temporal Distribution Shift
by: Maganti, Saket
Published: (2026)