Synthetic Trust Attacks: Modeling How Generative AI Manipulates Human Decisions in Social Engineering Fraud
Fuente:
arXiv
Guardado en:
| Autor principal: | Ashraf, Muhammad Tahir |
|---|---|
| Formato: | Preprint |
| Publicado: |
2026
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Foe for Fraud: Transferable Adversarial Attacks in Credit Card Fraud Detection
por: Fok, Jan Lum, et al.
Publicado: (2025)
por: Fok, Jan Lum, et al.
Publicado: (2025)
An Attack Method for Medical Insurance Claim Fraud Detection based on Generative Adversarial Network
por: Pang, Yining, et al.
Publicado: (2025)
por: Pang, Yining, et al.
Publicado: (2025)
The End of Trust: How Agentic AI Breaks Security Assumptions
por: Zafar, Osama, et al.
Publicado: (2026)
por: Zafar, Osama, et al.
Publicado: (2026)
FraudShield: Knowledge Graph Empowered Defense for LLMs against Fraud Attacks
por: Xu, Naen, et al.
Publicado: (2026)
por: Xu, Naen, et al.
Publicado: (2026)
Automatically Attacking Software Reverse Engineering AI Agents
por: Crawford, Brian, et al.
Publicado: (2026)
por: Crawford, Brian, et al.
Publicado: (2026)
Can We Trust Embodied Agents? Exploring Backdoor Attacks against Embodied LLM-based Decision-Making Systems
por: Jiao, Ruochen, et al.
Publicado: (2024)
por: Jiao, Ruochen, et al.
Publicado: (2024)
Data-Free Model-Related Attacks: Unleashing the Potential of Generative AI
por: Ye, Dayong, et al.
Publicado: (2025)
por: Ye, Dayong, et al.
Publicado: (2025)
TH-Bench: Evaluating Evading Attacks via Humanizing AI Text on Machine-Generated Text Detectors
por: Zheng, Jingyi, et al.
Publicado: (2025)
por: Zheng, Jingyi, et al.
Publicado: (2025)
A Unified Framework for Human AI Collaboration in Security Operations Centers with Trusted Autonomy
por: Mohsin, Ahmad, et al.
Publicado: (2025)
por: Mohsin, Ahmad, et al.
Publicado: (2025)
Agentic AI Microservice Framework for Deepfake and Document Fraud Detection in KYC Pipelines
por: Kubam, Chandra Sekhar
Publicado: (2026)
por: Kubam, Chandra Sekhar
Publicado: (2026)
On the Feasibility of Using MultiModal LLMs to Execute AR Social Engineering Attacks
por: Bi, Ting, et al.
Publicado: (2025)
por: Bi, Ting, et al.
Publicado: (2025)
Adaptive Attacks on Trusted Monitors Subvert AI Control Protocols
por: Terekhov, Mikhail, et al.
Publicado: (2025)
por: Terekhov, Mikhail, et al.
Publicado: (2025)
MemTrust: A Zero-Trust Architecture for Unified AI Memory System
por: Zhou, Xing, et al.
Publicado: (2026)
por: Zhou, Xing, et al.
Publicado: (2026)
Web Fraud Attacks Against LLM-Driven Multi-Agent Systems
por: Kong, Dezhang, et al.
Publicado: (2025)
por: Kong, Dezhang, et al.
Publicado: (2025)
Is On-Device AI Broken and Exploitable? Assessing the Trust and Ethics in Small Language Models
por: Nakka, Kalyan, et al.
Publicado: (2024)
por: Nakka, Kalyan, et al.
Publicado: (2024)
Whose Narrative is it Anyway? A KV Cache Manipulation Attack
por: Ganesh, Mukkesh, et al.
Publicado: (2025)
por: Ganesh, Mukkesh, et al.
Publicado: (2025)
UNSEEN: A Cross-Stack LLM Unlearning Defense against AR-LLM Social Engineering Attacks
por: Yu, Tianlong, et al.
Publicado: (2026)
por: Yu, Tianlong, et al.
Publicado: (2026)
When Bots Take the Bait: Exposing and Mitigating the Emerging Social Engineering Attack in Web Automation Agent
por: Wu, Xinyi, et al.
Publicado: (2026)
por: Wu, Xinyi, et al.
Publicado: (2026)
Unveiling the Threat of Fraud Gangs to Graph Neural Networks: Multi-Target Graph Injection Attacks Against GNN-Based Fraud Detectors
por: Choi, Jinhyeok, et al.
Publicado: (2024)
por: Choi, Jinhyeok, et al.
Publicado: (2024)
Vulnerabilities in AI Code Generators: Exploring Targeted Data Poisoning Attacks
por: Cotroneo, Domenico, et al.
Publicado: (2023)
por: Cotroneo, Domenico, et al.
Publicado: (2023)
Semantic Attacks on Tool-Augmented LLMs: Securing the Model Context Protocol Against Descriptor-Level Manipulation
por: Jamshidi, Saeid, et al.
Publicado: (2025)
por: Jamshidi, Saeid, et al.
Publicado: (2025)
Securing Generative AI in Healthcare: A Zero-Trust Architecture Powered by Confidential Computing on Google Cloud
por: Amanna, Adaobi, et al.
Publicado: (2025)
por: Amanna, Adaobi, et al.
Publicado: (2025)
Authenticity Debt and the Synthetic Content Threat Landscape: A Layered Framework for Trust, Provenance, and IP Governance in the Generative AI Era
por: Sengupta, Shubhashis, et al.
Publicado: (2026)
por: Sengupta, Shubhashis, et al.
Publicado: (2026)
DECEPTICON: How Dark Patterns Manipulate Web Agents
por: Cuvin, Phil, et al.
Publicado: (2025)
por: Cuvin, Phil, et al.
Publicado: (2025)
Generative AI for Critical Infrastructure in Smart Grids: A Unified Framework for Synthetic Data Generation and Anomaly Detection
por: Zaboli, Aydin, et al.
Publicado: (2025)
por: Zaboli, Aydin, et al.
Publicado: (2025)
Black-Box Opinion Manipulation Attacks to Retrieval-Augmented Generation of Large Language Models
por: Chen, Zhuo, et al.
Publicado: (2024)
por: Chen, Zhuo, et al.
Publicado: (2024)
FAA Framework: A Large Language Model-Based Approach for Credit Card Fraud Investigations
por: Shuster, Shaun, et al.
Publicado: (2025)
por: Shuster, Shaun, et al.
Publicado: (2025)
MAIF: Enforcing AI Trust and Provenance with an Artifact-Centric Agentic Paradigm
por: Narajala, Vineeth Sai, et al.
Publicado: (2025)
por: Narajala, Vineeth Sai, et al.
Publicado: (2025)
Hallucinating AI Hijacking Attack: Large Language Models and Malicious Code Recommenders
por: Noever, David, et al.
Publicado: (2024)
por: Noever, David, et al.
Publicado: (2024)
SoK: How Robust is Audio Watermarking in Generative AI models?
por: Wen, Yizhu, et al.
Publicado: (2025)
por: Wen, Yizhu, et al.
Publicado: (2025)
Turning Generative Models Degenerate: The Power of Data Poisoning Attacks
por: Jiang, Shuli, et al.
Publicado: (2024)
por: Jiang, Shuli, et al.
Publicado: (2024)
Fraud Analytics: A Decade of Research -- Organizing Challenges and Solutions in the Field
por: Bockel-Rickermann, Christopher, et al.
Publicado: (2022)
por: Bockel-Rickermann, Christopher, et al.
Publicado: (2022)
Advanced Real-Time Fraud Detection Using RAG-Based LLMs
por: Singh, Gurjot, et al.
Publicado: (2025)
por: Singh, Gurjot, et al.
Publicado: (2025)
A Novel Perturb-ability Score to Mitigate Evasion Adversarial Attacks on Flow-Based ML-NIDS
por: elShehaby, Mohamed, et al.
Publicado: (2024)
por: elShehaby, Mohamed, et al.
Publicado: (2024)
Manipulating LLM Web Agents with Indirect Prompt Injection Attack via HTML Accessibility Tree
por: Johnson, Sam, et al.
Publicado: (2025)
por: Johnson, Sam, et al.
Publicado: (2025)
Threat Modelling using Domain-Adapted Language Models: Empirical Evaluation and Insights
por: Pourhanifeh, Saba, et al.
Publicado: (2026)
por: Pourhanifeh, Saba, et al.
Publicado: (2026)
Caging the Agents: A Zero Trust Security Architecture for Autonomous AI in Healthcare
por: Maiti, Saikat
Publicado: (2026)
por: Maiti, Saikat
Publicado: (2026)
AgentTrust: Runtime Safety Evaluation and Interception for AI Agent Tool Use
por: Yang, Chenglin
Publicado: (2026)
por: Yang, Chenglin
Publicado: (2026)
MATRA: Modeling the Attack Surface of Agentic AI Systems -- OpenClaw Case Study
por: Van hamme, Tim, et al.
Publicado: (2026)
por: Van hamme, Tim, et al.
Publicado: (2026)
Toward a Unified Security Framework for AI Agents: Trust, Risk, and Liability
por: Mo, Jiayun, et al.
Publicado: (2025)
por: Mo, Jiayun, et al.
Publicado: (2025)
Ejemplares similares
-
Foe for Fraud: Transferable Adversarial Attacks in Credit Card Fraud Detection
por: Fok, Jan Lum, et al.
Publicado: (2025) -
An Attack Method for Medical Insurance Claim Fraud Detection based on Generative Adversarial Network
por: Pang, Yining, et al.
Publicado: (2025) -
The End of Trust: How Agentic AI Breaks Security Assumptions
por: Zafar, Osama, et al.
Publicado: (2026) -
FraudShield: Knowledge Graph Empowered Defense for LLMs against Fraud Attacks
por: Xu, Naen, et al.
Publicado: (2026) -
Automatically Attacking Software Reverse Engineering AI Agents
por: Crawford, Brian, et al.
Publicado: (2026)