Image de couverture de livre

LProtector: An LLM-driven Vulnerability Detection System

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Sheng, Ze, Wu, Fenghua, Zuo, Xiangwu, Li, Chao, Qiao, Yuxin, Hang, Lei
Format:	Preprint
Publié:	2024
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

LLMs in Software Security: A Survey of Vulnerability Detection Techniques and Insights
par: Sheng, Ze, et autres
Publié: (2025)

SafeGenBench: A Benchmark Framework for Security Vulnerability Detection in LLM-Generated Code
par: Li, Xinghang, et autres
Publié: (2025)

VulnLLM-R: Specialized Reasoning LLM with Agent Scaffold for Vulnerability Detection
par: Nie, Yuzhou, et autres
Publié: (2025)

VerilogLAVD: LLM-Aided Rule Generation for Vulnerability Detection in Verilog
par: Long, Xiang, et autres
Publié: (2025)

Smart-LLaMA-DPO: Reinforced Large Language Model for Explainable Smart Contract Vulnerability Detection
par: Yu, Lei, et autres
Publié: (2025)

MCPGuard : Automatically Detecting Vulnerabilities in MCP Servers
par: Wang, Bin, et autres
Publié: (2025)

SmartLLMSentry: A Comprehensive LLM Based Smart Contract Vulnerability Detection Framework
par: Zaazaa, Oualid, et autres
Publié: (2024)

Logic Meets Magic: LLMs Cracking Smart Contract Vulnerabilities
par: Xiao, ZeKe, et autres
Publié: (2025)

What Breaks Embodied AI Security:LLM Vulnerabilities, CPS Flaws,or Something Else?
par: Ma, Boyang, et autres
Publié: (2026)

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

Life-Cycle Routing Vulnerabilities of LLM Router
par: Lin, Qiqi, et autres
Publié: (2025)

Uncovering Vulnerabilities of LLM-Assisted Cyber Threat Intelligence
par: Meng, Yuqiao, et autres
Publié: (2025)

LLM-based Vulnerable Code Augmentation: Generate or Refactor?
par: Ouchebara, Dyna Soumhane, et autres
Publié: (2025)

The System Prompt Is the Attack Surface: How LLM Agent Configuration Shapes Security and Creates Exploitable Vulnerabilities
par: Litvak, Ron
Publié: (2026)

VULPO: Context-Aware Vulnerability Detection via On-Policy LLM Optimization
par: Li, Youpeng, et autres
Publié: (2025)

UEChecker: Detecting Unchecked External Call Vulnerabilities in DApps via Graph Analysis
par: Kong, Dechao, et autres
Publié: (2025)

Amplified Vulnerabilities: Structured Jailbreak Attacks on LLM-based Multi-Agent Debate
par: Qi, Senmao, et autres
Publié: (2025)

Data Quality Issues in Vulnerability Detection Datasets
par: Guo, Yuejun, et autres
Publié: (2024)

LLMpatronous: Harnessing the Power of LLMs For Vulnerability Detection
par: Yarra, Rajesh
Publié: (2025)

LLM Agents can Autonomously Exploit One-day Vulnerabilities
par: Fang, Richard, et autres
Publié: (2024)

AutoPentest: Enhancing Vulnerability Management With Autonomous LLM Agents
par: Henke, Julius
Publié: (2025)

PathSeeker: Exploring LLM Security Vulnerabilities with a Reinforcement Learning-Based Jailbreak Approach
par: Lin, Zhihao, et autres
Publié: (2024)

SecureRAG-RTL: A Retrieval-Augmented, Multi-Agent, Zero-Shot LLM-Driven Framework for Hardware Vulnerability Detection
par: Hasan, Touseef, et autres
Publié: (2026)

CloudLens: Modeling and Detecting Cloud Security Vulnerabilities
par: Kazdagli, Mikhail, et autres
Publié: (2024)

Generative AI in Cybersecurity: A Comprehensive Review of LLM Applications and Vulnerabilities
par: Ferrag, Mohamed Amine, et autres
Publié: (2024)

Research on CNN-BiLSTM Network Traffic Anomaly Detection Model Based on MindSpore
par: Xiang, Qiuyan, et autres
Publié: (2025)

From SFT to RL: Demystifying the Post-Training Pipeline for LLM-based Vulnerability Detection
par: Li, Youpeng, et autres
Publié: (2026)

From Similarity to Vulnerability: Key Collision Attack on LLM Semantic Caching
par: Zhang, Zhixiang, et autres
Publié: (2026)

Extracting Recurring Vulnerabilities from Black-Box LLM-Generated Software
par: Kordonsky, Tomer, et autres
Publié: (2026)

SIExVulTS: Sensitive Information Exposure Vulnerability Detection System using Transformer Models and Static Analysis
par: Katz, Kyler, et autres
Publié: (2025)

Can LLM Prompting Serve as a Proxy for Static Analysis in Vulnerability Detection
par: Ceka, Ira, et autres
Publié: (2024)

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

White-Basilisk: A Hybrid Model for Code Vulnerability Detection
par: Lamprou, Ioannis, et autres
Publié: (2025)

Tailored Prompts, Targeted Protection: Vulnerability-Specific LLM Analysis for Smart Contracts
par: Zhang, Xing, et autres
Publié: (2026)

ASPI: Seeking Ambiguity Clarification Amplifies Prompt Injection Vulnerability in LLM Agents
par: Sehwag, Udari Madhushani, et autres
Publié: (2026)

Mind the Gap: Time-of-Check to Time-of-Use Vulnerabilities in LLM-Enabled Agents
par: Lilienthal, Derek, 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)

GradingAttack: Exposing Security Vulnerabilities in LLM Based Educational Grading Agents
par: Li, Xueyi, et autres
Publié: (2026)

Automated Vulnerability Detection in Source Code Using Deep Representation Learning
par: Seas, C., et autres
Publié: (2026)

SecureFalcon: Are We There Yet in Automated Software Vulnerability Detection with LLMs?
par: Ferrag, Mohamed Amine, et autres
Publié: (2023)