Image de couverture de livre

Unvalidated Trust: Cross-Stage Vulnerabilities in Large Language Model Architectures

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteur principal:	Schwarz, Dominik
Format:	Preprint
Publié:	2025
Sujets:	Cryptography and Security Artificial Intelligence
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Countermind: A Multi-Layered Security Architecture for Large Language Models
par: Schwarz, Dominik
Publié: (2025)

Evaluating Adversarial Vulnerabilities in Modern Large Language Models
par: Perel, Tom
Publié: (2025)

Exploiting the Vulnerability of Large Language Models via Defense-Aware Architectural Backdoor
par: Miah, Abdullah Arafat, et autres
Publié: (2024)

Exploring Membership Inference Vulnerabilities in Clinical Large Language Models
par: Nemecek, Alexander, et autres
Publié: (2025)

MARVEL: Multi-Agent RTL Vulnerability Extraction using Large Language Models
par: Collini, Luca, et autres
Publié: (2025)

Beyond Single Bugs: Benchmarking Large Language Models for Multi-Vulnerability Detection
par: Pushkar, Chinmay, et autres
Publié: (2025)

A Study of Vulnerability Repair in JavaScript Programs with Large Language Models
par: Le, Tan Khang, et autres
Publié: (2024)

MemTrust: A Zero-Trust Architecture for Unified AI Memory System
par: Zhou, Xing, et autres
Publié: (2026)

PrompTrend: Continuous Community-Driven Vulnerability Discovery and Assessment for Large Language Models
par: Gasmi, Tarek, et autres
Publié: (2025)

CryptoScope: Utilizing Large Language Models for Automated Cryptographic Logic Vulnerability Detection
par: Li, Zhihao, et autres
Publié: (2025)

Can Transformer Memory Be Corrupted? Investigating Cache-Side Vulnerabilities in Large Language Models
par: Hossain, Elias, et autres
Publié: (2025)

Retrieval Augmented Generation Integrated Large Language Models in Smart Contract Vulnerability Detection
par: Yu, Jeffy
Publié: (2024)

Code Vulnerability Repair with Large Language Model using Context-Aware Prompt Tuning
par: Khan, Arshiya, et autres
Publié: (2024)

Transient Turn Injection: Exposing Stateless Multi-Turn Vulnerabilities in Large Language Models
par: Rayhan, Naheed, et autres
Publié: (2026)

Beyond Content Safety: Real-Time Monitoring for Reasoning Vulnerabilities in Large Language Models
par: Wang, Xunguang, et autres
Publié: (2026)

Mining Characteristics of Vulnerable Smart Contracts Across Lifecycle Stages
par: Peng, Hongli, et autres
Publié: (2025)

Smart-LLaMA: Two-Stage Post-Training of Large Language Models for Smart Contract Vulnerability Detection and Explanation
par: Yu, Lei, et autres
Publié: (2024)

Enhancing Reverse Engineering: Investigating and Benchmarking Large Language Models for Vulnerability Analysis in Decompiled Binaries
par: Manuel, Dylan, et autres
Publié: (2024)

Jailbreaking and Mitigation of Vulnerabilities in Large Language Models
par: Peng, Benji, et autres
Publié: (2024)

Finetuning Large Language Models for Vulnerability Detection
par: Shestov, Alexey, et autres
Publié: (2024)

A Cross-Language Investigation into Jailbreak Attacks in Large Language Models
par: Li, Jie, et autres
Publié: (2024)

Conflicts Make Large Reasoning Models Vulnerable to Attacks
par: Liu, Honghao, et autres
Publié: (2026)

Distilling Lightweight Language Models for C/C++ Vulnerabilities
par: Wei, Zhiyuan, et autres
Publié: (2025)

LLbezpeky: Leveraging Large Language Models for Vulnerability Detection
par: Mathews, Noble Saji, et autres
Publié: (2024)

ParaVul: A Parallel Large Language Model and Retrieval-Augmented Framework for Smart Contract Vulnerability Detection
par: Huang, Tenghui, et autres
Publié: (2025)

Analysis of Threat-Based Manipulation in Large Language Models: A Dual Perspective on Vulnerabilities and Performance Enhancement Opportunities
par: Samancioglu, Atil
Publié: (2025)

Breaking the Loop: Detecting and Mitigating Denial-of-Service Vulnerabilities in Large Language Models
par: Yu, Junzhe, et autres
Publié: (2025)

Multi-Stage Retrieval for Operational Technology Cybersecurity Compliance Using Large Language Models: A Railway Casestudy
par: Bolton, Regan, et autres
Publié: (2025)

Large Language Models in Cybersecurity: Applications, Vulnerabilities, and Defense Techniques
par: Jaffal, Niveen O., et autres
Publié: (2025)

Securing Large Language Models: Threats, Vulnerabilities and Responsible Practices
par: Abdali, Sara, et autres
Publié: (2024)

Caging the Agents: A Zero Trust Security Architecture for Autonomous AI in Healthcare
par: Maiti, Saikat
Publié: (2026)

Is On-Device AI Broken and Exploitable? Assessing the Trust and Ethics in Small Language Models
par: Nakka, Kalyan, et autres
Publié: (2024)

Data Poisoning Vulnerabilities Across Healthcare AI Architectures: A Security Threat Analysis
par: Abtahi, Farhad, et autres
Publié: (2025)

Medical MLLM is Vulnerable: Cross-Modality Jailbreak and Mismatched Attacks on Medical Multimodal Large Language Models
par: Huang, Xijie, et autres
Publié: (2024)

Universal Vulnerabilities in Large Language Models: Backdoor Attacks for In-context Learning
par: Zhao, Shuai, et autres
Publié: (2024)

PoisonBench: Assessing Large Language Model Vulnerability to Data Poisoning
par: Fu, Tingchen, et autres
Publié: (2024)

DCVD: Dual-Channel Cross-Modal Fusion for Joint Vulnerability Detection and Localization
par: Tang, Wenxin, et autres
Publié: (2026)

Playing Devil's Advocate: Unmasking Toxicity and Vulnerabilities in Large Vision-Language Models
par: Erol, Abdulkadir, et autres
Publié: (2025)

Code Security Vulnerability Repair Using Reinforcement Learning with Large Language Models
par: Islam, Nafis Tanveer, et autres
Publié: (2024)

Research on Large Language Model Cross-Cloud Privacy Protection and Collaborative Training based on Federated Learning
par: Yang, Ze, et autres
Publié: (2025)