Unveiling the Threat of Fraud Gangs to Graph Neural Networks: Multi-Target Graph Injection Attacks Against GNN-Based Fraud Detectors
Fuente:
arXiv
Saved in:
| Main Authors: | Choi, Jinhyeok, Kim, Heehyeon, Whang, Joyce Jiyoung |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Dynamic Relation-Attentive Graph Neural Networks for Fraud Detection
by: Kim, Heehyeon, et al.
Published: (2023)
by: Kim, Heehyeon, et al.
Published: (2023)
SpoT-Mamba: Learning Long-Range Dependency on Spatio-Temporal Graphs with Selective State Spaces
by: Choi, Jinhyeok, et al.
Published: (2024)
by: Choi, Jinhyeok, et al.
Published: (2024)
FraudShield: Knowledge Graph Empowered Defense for LLMs against Fraud Attacks
by: Xu, Naen, et al.
Published: (2026)
by: Xu, Naen, et al.
Published: (2026)
Benchmarking Fraud Detectors on Private Graph Data
by: Goldberg, Alexander, et al.
Published: (2025)
by: Goldberg, Alexander, et al.
Published: (2025)
detectGNN: Harnessing Graph Neural Networks for Enhanced Fraud Detection in Credit Card Transactions
by: Sultana, Irin, et al.
Published: (2025)
by: Sultana, Irin, et al.
Published: (2025)
Foe for Fraud: Transferable Adversarial Attacks in Credit Card Fraud Detection
by: Fok, Jan Lum, et al.
Published: (2025)
by: Fok, Jan Lum, et al.
Published: (2025)
Web Fraud Attacks Against LLM-Driven Multi-Agent Systems
by: Kong, Dezhang, et al.
Published: (2025)
by: Kong, Dezhang, et al.
Published: (2025)
Node Injection Attack Based on Label Propagation Against Graph Neural Network
by: Zhu, Peican, et al.
Published: (2024)
by: Zhu, Peican, et al.
Published: (2024)
PromoGuardian: Detecting Promotion Abuse Fraud with Multi-Relation Fused Graph Neural Networks
by: Li, Shaofei, et al.
Published: (2025)
by: Li, Shaofei, et al.
Published: (2025)
An Attack Method for Medical Insurance Claim Fraud Detection based on Generative Adversarial Network
by: Pang, Yining, et al.
Published: (2025)
by: Pang, Yining, et al.
Published: (2025)
Detecting Credit Card Fraud via Heterogeneous Graph Neural Networks with Graph Attention
by: Sha, Qiuwu, et al.
Published: (2025)
by: Sha, Qiuwu, et al.
Published: (2025)
BadImplant: Injection-based Multi-Targeted Graph Backdoor Attack
by: Khan, Md Nabi Newaz, et al.
Published: (2026)
by: Khan, Md Nabi Newaz, et al.
Published: (2026)
Towards Quantum-Ready Blockchain Fraud Detection via Ensemble Graph Neural Networks
by: Haider, M. Z., et al.
Published: (2025)
by: Haider, M. Z., et al.
Published: (2025)
Rethinking Fraud Safety Evaluation: Multi-Round Attacks Reveal Safety-Utility Tradeoffs in Graph-Context LLM Defenders
by: Jiang, Laura, et al.
Published: (2026)
by: Jiang, Laura, et al.
Published: (2026)
FIST: A Structured Threat Modeling Framework for Fraud Incidents
by: Dai, Yu-Chen, et al.
Published: (2025)
by: Dai, Yu-Chen, et al.
Published: (2025)
Financial Fraud Detection using Jump-Attentive Graph Neural Networks
by: Kadam, Prashank
Published: (2024)
by: Kadam, Prashank
Published: (2024)
Autonomous Chain-of-Thought Distillation for Graph-Based Fraud Detection
by: Li, Yuan, et al.
Published: (2026)
by: Li, Yuan, et al.
Published: (2026)
Advanced Real-Time Fraud Detection Using RAG-Based LLMs
by: Singh, Gurjot, et al.
Published: (2025)
by: Singh, Gurjot, et al.
Published: (2025)
Synthetic Trust Attacks: Modeling How Generative AI Manipulates Human Decisions in Social Engineering Fraud
by: Ashraf, Muhammad Tahir
Published: (2026)
by: Ashraf, Muhammad Tahir
Published: (2026)
TBDetector:Transformer-Based Detector for Advanced Persistent Threats with Provenance Graph
by: Wang, Nan, et al.
Published: (2023)
by: Wang, Nan, et al.
Published: (2023)
AGSOA:Graph Neural Network Targeted Attack Based on Average Gradient and Structure Optimization
by: Chen, Yang, et al.
Published: (2024)
by: Chen, Yang, et al.
Published: (2024)
Dynamic Feature Fusion: Combining Global Graph Structures and Local Semantics for Blockchain Fraud Detection
by: Sheng, Zhang, et al.
Published: (2025)
by: Sheng, Zhang, et al.
Published: (2025)
Graph Neural Network Based Adaptive Threat Detection for Cloud Identity and Access Management Logs
by: Madireddy, Venkata Tanuja
Published: (2025)
by: Madireddy, Venkata Tanuja
Published: (2025)
ATAG: AI-Agent Application Threat Assessment with Attack Graphs
by: Gandhi, Parth Atulbhai, et al.
Published: (2025)
by: Gandhi, Parth Atulbhai, et al.
Published: (2025)
Leakage Safe Graph Features for Interpretable Fraud Detection in Temporal Transaction Networks
by: Khaleghpour, Hamideh, et al.
Published: (2026)
by: Khaleghpour, Hamideh, et al.
Published: (2026)
Analysis of LLMs Against Prompt Injection and Jailbreak Attacks
by: Jaiswal, Piyush, et al.
Published: (2026)
by: Jaiswal, Piyush, et al.
Published: (2026)
Securing AI Agents Against Prompt Injection Attacks
by: Ramakrishnan, Badrinath, et al.
Published: (2025)
by: Ramakrishnan, Badrinath, et al.
Published: (2025)
Disttack: Graph Adversarial Attacks Toward Distributed GNN Training
by: Zhang, Yuxiang, et al.
Published: (2024)
by: Zhang, Yuxiang, et al.
Published: (2024)
FAA Framework: A Large Language Model-Based Approach for Credit Card Fraud Investigations
by: Shuster, Shaun, et al.
Published: (2025)
by: Shuster, Shaun, et al.
Published: (2025)
Fraud Analytics: A Decade of Research -- Organizing Challenges and Solutions in the Field
by: Bockel-Rickermann, Christopher, et al.
Published: (2022)
by: Bockel-Rickermann, Christopher, et al.
Published: (2022)
Multi-stage Attack Detection and Prediction Using Graph Neural Networks: An IoT Feasibility Study
by: Friji, Hamdi, et al.
Published: (2024)
by: Friji, Hamdi, et al.
Published: (2024)
From Threat to Tool: Leveraging Refusal-Aware Injection Attacks for Safety Alignment
by: Chae, Kyubyung, et al.
Published: (2025)
by: Chae, Kyubyung, 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)
by: Maganti, Saket
Published: (2026)
FraudFox: Adaptable Fraud Detection in the Real World
by: Butler, Matthew, et al.
Published: (2026)
by: Butler, Matthew, et al.
Published: (2026)
Agentic AI Microservice Framework for Deepfake and Document Fraud Detection in KYC Pipelines
by: Kubam, Chandra Sekhar
Published: (2026)
by: Kubam, Chandra Sekhar
Published: (2026)
Grad: Guided Relation Diffusion Generation for Graph Augmentation in Graph Fraud Detection
by: Yang, Jie, et al.
Published: (2025)
by: Yang, Jie, et al.
Published: (2025)
Unlearning Inversion Attacks for Graph Neural Networks
by: Zhang, Jiahao, et al.
Published: (2025)
by: Zhang, Jiahao, et al.
Published: (2025)
KGBERT4Eth: A Feature-Complete Transformer Powered by Knowledge Graph for Multi-Task Ethereum Fraud Detection
by: Jia, Yifan, et al.
Published: (2025)
by: Jia, Yifan, et al.
Published: (2025)
To Protect the LLM Agent Against the Prompt Injection Attack with Polymorphic Prompt
by: Wang, Zhilong, et al.
Published: (2025)
by: Wang, Zhilong, et al.
Published: (2025)
WASP: Benchmarking Web Agent Security Against Prompt Injection Attacks
by: Evtimov, Ivan, et al.
Published: (2025)
by: Evtimov, Ivan, et al.
Published: (2025)
Similar Items
-
Dynamic Relation-Attentive Graph Neural Networks for Fraud Detection
by: Kim, Heehyeon, et al.
Published: (2023) -
SpoT-Mamba: Learning Long-Range Dependency on Spatio-Temporal Graphs with Selective State Spaces
by: Choi, Jinhyeok, et al.
Published: (2024) -
FraudShield: Knowledge Graph Empowered Defense for LLMs against Fraud Attacks
by: Xu, Naen, et al.
Published: (2026) -
Benchmarking Fraud Detectors on Private Graph Data
by: Goldberg, Alexander, et al.
Published: (2025) -
detectGNN: Harnessing Graph Neural Networks for Enhanced Fraud Detection in Credit Card Transactions
by: Sultana, Irin, et al.
Published: (2025)