Image de couverture de livre

The Shadow of Fraud: The Emerging Danger of AI-powered Social Engineering and its Possible Cure

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Yu, Jingru, Yu, Yi, Wang, Xuhong, Lin, Yilun, Yang, Manzhi, Qiao, Yu, Wang, Fei-Yue
Format:	Preprint
Publié:	2024
Sujets:	Cryptography and Security
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Building Intelligence Identification System via Large Language Model Watermarking: A Survey and Beyond
par: Wang, Xuhong, et autres
Publié: (2024)

FIST: A Structured Threat Modeling Framework for Fraud Incidents
par: Dai, Yu-Chen, et autres
Publié: (2025)

When Safe Models Merge into Danger: Exploiting Latent Vulnerabilities in LLM Fusion
par: Li, Jiaqing, et autres
Publié: (2026)

Cybersecurity AI: The Dangerous Gap Between Automation and Autonomy
par: Mayoral-Vilches, Víctor
Publié: (2025)

Synthetic Trust Attacks: Modeling How Generative AI Manipulates Human Decisions in Social Engineering Fraud
par: Ashraf, Muhammad Tahir
Publié: (2026)

ShadowBound: Efficient Heap Memory Protection Through Advanced Metadata Management and Customized Compiler Optimization
par: Yu, Zheng, et autres
Publié: (2024)

The Hidden Dangers of Browsing AI Agents
par: Mudryi, Mykyta, et autres
Publié: (2025)

FraudFox: Adaptable Fraud Detection in the Real World
par: Butler, Matthew, et autres
Publié: (2026)

Modern DDoS Threats and Countermeasures: Insights into Emerging Attacks and Detection Strategies
par: Wang, Jincheng, et autres
Publié: (2025)

UniDetect: LLM-Driven Universal Fraud Detection across Heterogeneous Blockchains
par: Miao, Shuyi, et autres
Publié: (2026)

An Assessment of the Overlooked Dangers of Template Engines
par: Pisu, Lorenzo, et autres
Publié: (2024)

UniMark: Artificial Intelligence Generated Content Identification Toolkit
par: Li, Meilin, et autres
Publié: (2025)

Consiglieres in the Shadow: Understanding the Use of Uncensored Large Language Models in Cybercrimes
par: Lin, Zilong, et autres
Publié: (2025)

Web Fraud Attacks Against LLM-Driven Multi-Agent Systems
par: Kong, Dezhang, et autres
Publié: (2025)

Clawed and Dangerous: Can We Trust Open Agentic Systems?
par: Chen, Shiping, et autres
Publié: (2026)

Bitcoin-Enhanced Proof-of-Stake Security: Possibilities and Impossibilities
par: Tas, Ertem Nusret, et autres
Publié: (2022)

Why Neural Structural Obfuscation Can't Kill White-Box Watermarks for Good!
par: Jiang, Yanna, et autres
Publié: (2026)

A Survey on Machine Unlearning: Techniques and New Emerged Privacy Risks
par: Liu, Hengzhu, et autres
Publié: (2024)

ShadowScope: GPU Monitoring and Validation via Composable Side Channel Signals
par: Almusaddar, Ghadeer, et autres
Publié: (2025)

LLM-Assisted Authentication and Fraud Detection
par: Chan, Emunah S-S., et autres
Publié: (2026)

Honeypot-powered Malware Reverse Engineering
par: Bombardieri, Michele, et autres
Publié: (2015)

On the Feasibility of Using MultiModal LLMs to Execute AR Social Engineering Attacks
par: Bi, Ting, et autres
Publié: (2025)

The Hidden Dangers of Public Serverless Repositories: An Empirical Security Assessment
par: Marin, Eduard, et autres
Publié: (2025)

The Hidden Dangers of Outdated Software: A Cyber Security Perspective
par: Thiyagarajan, Gogulakrishnan, et autres
Publié: (2025)

Benchmarking Fraud Detectors on Private Graph Data
par: Goldberg, Alexander, et autres
Publié: (2025)

UNSEEN: A Cross-Stack LLM Unlearning Defense against AR-LLM Social Engineering Attacks
par: Yu, Tianlong, et autres
Publié: (2026)

The Emerged Security and Privacy of LLM Agent: A Survey with Case Studies
par: He, Feng, et autres
Publié: (2024)

The Danger Within: Insider Threat Modeling Using Business Process Models
par: von der Assen, Jan, et autres
Publié: (2024)

Generative AI for Biosciences: Emerging Threats and Roadmap to Biosecurity
par: Zhang, Zaixi, et autres
Publié: (2025)

Purifying Approximate Differential Privacy with Randomized Post-processing
par: Lin, Yingyu, et autres
Publié: (2025)

PrivTuner with Homomorphic Encryption and LoRA: A P3EFT Scheme for Privacy-Preserving Parameter-Efficient Fine-Tuning of AI Foundation Models
par: Li, Yang, et autres
Publié: (2024)

Logit Poisoning Attack in Distillation-based Federated Learning and its Countermeasures
par: Yu, Yonghao, et autres
Publié: (2024)

Active Honeypot Guardrail System: Probing and Confirming Multi-Turn LLM Jailbreaks
par: Wu, ChenYu, et autres
Publié: (2025)

Cryptanalysis and design for a family of plaintext-non-delayed chaotic ciphers
par: Wang, Qianxue, et autres
Publié: (2025)

Watermarking Conditional Text Generation for AI Detection: Unveiling Challenges and a Semantic-Aware Watermark Remedy
par: Fu, Yu, et autres
Publié: (2023)

Foe for Fraud: Transferable Adversarial Attacks in Credit Card Fraud Detection
par: Fok, Jan Lum, et autres
Publié: (2025)

Scrappy: SeCure Rate Assuring Protocol with PrivacY
par: Akama, Kosei, et autres
Publié: (2023)

Privacy-Aware White and Black List Searching for Fraud Analysis
par: Buchanan, William J, et autres
Publié: (2025)

Detection and Impact of Debit/Credit Card Fraud: Victims' Experiences
par: Alashwali, Eman, et autres
Publié: (2024)

FraudShield: Knowledge Graph Empowered Defense for LLMs against Fraud Attacks
par: Xu, Naen, et autres
Publié: (2026)