An Attack Method for Medical Insurance Claim Fraud Detection based on Generative Adversarial Network
Fuente:
arXiv
Saved in:
| Main Authors: | Pang, Yining, Li, Chenghan |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
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)
Enhancing Cybersecurity in IoT Networks: A Deep Learning Approach to Anomaly Detection
by: Pang, Yining, et al.
Published: (2024)
by: Pang, Yining, et al.
Published: (2024)
DECEIVE-AFC: Adversarial Claim Attacks against Search-Enabled LLM-based Fact-Checking Systems
by: Ou, Haoran, et al.
Published: (2026)
by: Ou, Haoran, et al.
Published: (2026)
NetDiffuser: Deceiving DNN-Based Network Attack Detection Systems with Diffusion-Generated Adversarial Traffic
by: Kumar, Pratyay, et al.
Published: (2026)
by: Kumar, Pratyay, et al.
Published: (2026)
RAG-targeted Adversarial Attack on LLM-based Threat Detection and Mitigation Framework
by: Ikbarieh, Seif, et al.
Published: (2025)
by: Ikbarieh, Seif, et al.
Published: (2025)
Medical Multimodal Model Stealing Attacks via Adversarial Domain Alignment
by: Shen, Yaling, et al.
Published: (2025)
by: Shen, Yaling, et al.
Published: (2025)
VisInject: Disruption != Injection -- A Dual-Dimension Evaluation of Universal Adversarial Attacks on Vision-Language Models
by: Liu, Pang, et al.
Published: (2026)
by: Liu, Pang, et al.
Published: (2026)
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)
Doppelganger Method: Breaking Role Consistency in LLM Agent via Prompt-based Transferable Adversarial Attack
by: Kang, Daewon, et al.
Published: (2025)
by: Kang, Daewon, et al.
Published: (2025)
TEAM: Temporal Adversarial Examples Attack Model against Network Intrusion Detection System Applied to RNN
by: Liu, Ziyi, et al.
Published: (2024)
by: Liu, Ziyi, et al.
Published: (2024)
Enhancing Network Intrusion Detection Systems: A Multi-Layer Ensemble Approach to Mitigate Adversarial Attacks
by: Soltani, Nasim, et al.
Published: (2026)
by: Soltani, Nasim, et al.
Published: (2026)
FraudShield: Knowledge Graph Empowered Defense for LLMs against Fraud Attacks
by: Xu, Naen, et al.
Published: (2026)
by: Xu, Naen, et al.
Published: (2026)
Medusa: Cross-Modal Transferable Adversarial Attacks on Multimodal Medical Retrieval-Augmented Generation
by: Shang, Yingjia, et al.
Published: (2025)
by: Shang, Yingjia, et al.
Published: (2025)
DiffAttack: Evasion Attacks Against Diffusion-Based Adversarial Purification
by: Kang, Mintong, et al.
Published: (2023)
by: Kang, Mintong, et al.
Published: (2023)
Latent Adversarial Detection: Adaptive Probing of LLM Activations for Multi-Turn Attack Detection
by: Kulkarni, Prashant
Published: (2026)
by: Kulkarni, Prashant
Published: (2026)
Explainer-guided Targeted Adversarial Attacks against Binary Code Similarity Detection Models
by: Chen, Mingjie, et al.
Published: (2025)
by: Chen, Mingjie, et al.
Published: (2025)
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)
by: Choi, Jinhyeok, et al.
Published: (2024)
Adversarial Reinforcement Learning for Detecting False Data Injection Attacks in Vehicular Routing
by: Eghtesad, Taha, et al.
Published: (2026)
by: Eghtesad, Taha, et al.
Published: (2026)
CAVGAN: Unifying Jailbreak and Defense of LLMs via Generative Adversarial Attacks on their Internal Representations
by: Li, Xiaohu, et al.
Published: (2025)
by: Li, Xiaohu, et al.
Published: (2025)
Jailbreaking Prompt Attack: A Controllable Adversarial Attack against Diffusion Models
by: Ma, Jiachen, et al.
Published: (2024)
by: Ma, Jiachen, et al.
Published: (2024)
Advanced Real-Time Fraud Detection Using RAG-Based LLMs
by: Singh, Gurjot, et al.
Published: (2025)
by: Singh, Gurjot, et al.
Published: (2025)
Adversarial Attacks against Windows PE Malware Detection: A Survey of the State-of-the-Art
by: Ling, Xiang, et al.
Published: (2021)
by: Ling, Xiang, et al.
Published: (2021)
Modeling the Attack: Detecting AI-Generated Text by Quantifying Adversarial Perturbations
by: Teja, Lekkala Sai, et al.
Published: (2025)
by: Teja, Lekkala Sai, et al.
Published: (2025)
Adversarial Attacks on Reinforcement Learning-based Medical Questionnaire Systems: Input-level Perturbation Strategies and Medical Constraint Validation
by: Liu, Peizhuo
Published: (2025)
by: Liu, Peizhuo
Published: (2025)
BadSNN: Backdoor Attacks on Spiking Neural Networks via Adversarial Spiking Neuron
by: Miah, Abdullah Arafat, et al.
Published: (2026)
by: Miah, Abdullah Arafat, et al.
Published: (2026)
RAGShield: Detecting Numerical Claim Manipulation in Government RAG Systems
by: Patil, KrishnaSaiReddy
Published: (2026)
by: Patil, KrishnaSaiReddy
Published: (2026)
Knowledge Poisoning Attacks on Medical Multi-Modal Retrieval-Augmented Generation
by: Yang, Peiru, et al.
Published: (2026)
by: Yang, Peiru, et al.
Published: (2026)
Improving Android Malware Detection Through Data Augmentation Using Wasserstein Generative Adversarial Networks
by: Stalin, Kawana, et al.
Published: (2024)
by: Stalin, Kawana, et al.
Published: (2024)
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)
Cloud-based XAI Services for Assessing Open Repository Models Under Adversarial Attacks
by: Wang, Zerui, et al.
Published: (2024)
by: Wang, Zerui, et al.
Published: (2024)
Targeted Adversarial Traffic Generation : Black-box Approach to Evade Intrusion Detection Systems in IoT Networks
by: Debicha, Islam, et al.
Published: (2026)
by: Debicha, Islam, et al.
Published: (2026)
Optimal Transport-Guided Adversarial Attacks on Graph Neural Network-Based Bot Detection
by: Mukherjee, Kunal, et al.
Published: (2026)
by: Mukherjee, Kunal, et al.
Published: (2026)
Claim-Guided Textual Backdoor Attack for Practical Applications
by: Song, Minkyoo, et al.
Published: (2024)
by: Song, Minkyoo, et al.
Published: (2024)
Emerging Cyber Attack Risks of Medical AI Agents
by: Qiu, Jianing, et al.
Published: (2025)
by: Qiu, Jianing, et al.
Published: (2025)
On the Robustness of Bayesian Neural Networks to Adversarial Attacks
by: Bortolussi, Luca, et al.
Published: (2022)
by: Bortolussi, Luca, et al.
Published: (2022)
Secure Text Mail Encryption with Generative Adversarial Networks
by: Schelle, Alexej
Published: (2025)
by: Schelle, Alexej
Published: (2025)
Integrated Simulation Framework for Adversarial Attacks on Autonomous Vehicles
by: Anagnostopoulos, Christos, et al.
Published: (2025)
by: Anagnostopoulos, Christos, et al.
Published: (2025)
Adversarial Machine Learning: Attacks, Defenses, and Open Challenges
by: Jha, Pranav K
Published: (2025)
by: Jha, Pranav K
Published: (2025)
Temporal-Spatial Attention Network (TSAN) for DoS Attack Detection in Network Traffic
by: Kayode, Bisola Faith, et al.
Published: (2025)
by: Kayode, Bisola Faith, et al.
Published: (2025)
Kill Two Birds with One Stone! Trajectory enabled Unified Online Detection of Adversarial Examples and Backdoor Attacks
by: Fu, Anmin, et al.
Published: (2025)
by: Fu, Anmin, et al.
Published: (2025)
Similar Items
-
Foe for Fraud: Transferable Adversarial Attacks in Credit Card Fraud Detection
by: Fok, Jan Lum, et al.
Published: (2025) -
Enhancing Cybersecurity in IoT Networks: A Deep Learning Approach to Anomaly Detection
by: Pang, Yining, et al.
Published: (2024) -
DECEIVE-AFC: Adversarial Claim Attacks against Search-Enabled LLM-based Fact-Checking Systems
by: Ou, Haoran, et al.
Published: (2026) -
NetDiffuser: Deceiving DNN-Based Network Attack Detection Systems with Diffusion-Generated Adversarial Traffic
by: Kumar, Pratyay, et al.
Published: (2026) -
RAG-targeted Adversarial Attack on LLM-based Threat Detection and Mitigation Framework
by: Ikbarieh, Seif, et al.
Published: (2025)