Imagen de Portada

VerilogLAVD: LLM-Aided Rule Generation for Vulnerability Detection in Verilog

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Long, Xiang, Xia, Yingjie, Chen, Xiyuan, Kuang, Li
Formato:	Preprint
Publicado:	2025
Materias:	Cryptography and Security Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

SecFSM: Knowledge Graph-Guided Verilog Code Generation for Secure Finite State Machines in Systems-on-Chip
por: Hu, Ziteng, et al.
Publicado: (2025)

VeriCWEty: Embedding enabled Line-Level CWE Detection in Verilog
por: Roy, Prithwish Basu, et al.
Publicado: (2026)

Principle-Guided Verilog Optimization: IP-Safe Knowledge Transfer via Local-Cloud Collaboration
por: Wang, Jing, et al.
Publicado: (2025)

Semantic Consensus Decoding: Backdoor Defense for Verilog Code Generation
por: Yang, Guang, et al.
Publicado: (2026)

SafeGenBench: A Benchmark Framework for Security Vulnerability Detection in LLM-Generated Code
por: Li, Xinghang, et al.
Publicado: (2025)

LProtector: An LLM-driven Vulnerability Detection System
por: Sheng, Ze, et al.
Publicado: (2024)

VulnLLM-R: Specialized Reasoning LLM with Agent Scaffold for Vulnerability Detection
por: Nie, Yuzhou, et al.
Publicado: (2025)

LLM-based Vulnerable Code Augmentation: Generate or Refactor?
por: Ouchebara, Dyna Soumhane, et al.
Publicado: (2025)

Generative AI in Cybersecurity: A Comprehensive Review of LLM Applications and Vulnerabilities
por: Ferrag, Mohamed Amine, et al.
Publicado: (2024)

Extracting Recurring Vulnerabilities from Black-Box LLM-Generated Software
por: Kordonsky, Tomer, et al.
Publicado: (2026)

SmartLLMSentry: A Comprehensive LLM Based Smart Contract Vulnerability Detection Framework
por: Zaazaa, Oualid, et al.
Publicado: (2024)

Toward Automated Potential Primary Asset Identification in Verilog Designs
por: Nath, Subroto Kumer Deb, et al.
Publicado: (2025)

MCPGuard : Automatically Detecting Vulnerabilities in MCP Servers
por: Wang, Bin, et al.
Publicado: (2025)

Life-Cycle Routing Vulnerabilities of LLM Router
por: Lin, Qiqi, et al.
Publicado: (2025)

Audit-LLM: Multi-Agent Collaboration for Log-based Insider Threat Detection
por: Song, Chengyu, et al.
Publicado: (2024)

DRIFT: Dynamic Rule-Based Defense with Injection Isolation for Securing LLM Agents
por: Li, Hao, et al.
Publicado: (2025)

Data Lineage Inference: Uncovering Privacy Vulnerabilities of Dataset Pruning
por: Li, Qi, et al.
Publicado: (2024)

Uncovering Vulnerabilities of LLM-Assisted Cyber Threat Intelligence
por: Meng, Yuqiao, et al.
Publicado: (2025)

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

VULPO: Context-Aware Vulnerability Detection via On-Policy LLM Optimization
por: Li, Youpeng, et al.
Publicado: (2025)

Bleeding Pathways: Vanishing Discriminability in LLM Hidden States Fuels Jailbreak Attacks
por: Zhang, Yingjie, et al.
Publicado: (2025)

UEChecker: Detecting Unchecked External Call Vulnerabilities in DApps via Graph Analysis
por: Kong, Dechao, et al.
Publicado: (2025)

Modification and Generated-Text Detection: Achieving Dual Detection Capabilities for the Outputs of LLM by Watermark
por: Cai, Yuhang, et al.
Publicado: (2025)

"Glue pizza and eat rocks" -- Exploiting Vulnerabilities in Retrieval-Augmented Generative Models
por: Tan, Zhen, et al.
Publicado: (2024)

LLM Embedding-based Attribution (LEA): Quantifying Source Contributions to Generative Model's Response for Vulnerability Analysis
por: Fayyazi, Reza, et al.
Publicado: (2025)

Amplified Vulnerabilities: Structured Jailbreak Attacks on LLM-based Multi-Agent Debate
por: Qi, Senmao, et al.
Publicado: (2025)

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

Data Quality Issues in Vulnerability Detection Datasets
por: Guo, Yuejun, et al.
Publicado: (2024)

LLMs in Software Security: A Survey of Vulnerability Detection Techniques and Insights
por: Sheng, Ze, et al.
Publicado: (2025)

Taught by the Flawed: How Dataset Insecurity Breeds Vulnerable AI Code
por: Xia, Catherine, et al.
Publicado: (2025)

AutoPentest: Enhancing Vulnerability Management With Autonomous LLM Agents
por: Henke, Julius
Publicado: (2025)

LLM Agents can Autonomously Exploit One-day Vulnerabilities
por: Fang, Richard, et al.
Publicado: (2024)

PathSeeker: Exploring LLM Security Vulnerabilities with a Reinforcement Learning-Based Jailbreak Approach
por: Lin, Zhihao, et al.
Publicado: (2024)

SecureRAG-RTL: A Retrieval-Augmented, Multi-Agent, Zero-Shot LLM-Driven Framework for Hardware Vulnerability Detection
por: Hasan, Touseef, et al.
Publicado: (2026)

CloudLens: Modeling and Detecting Cloud Security Vulnerabilities
por: Kazdagli, Mikhail, et al.
Publicado: (2024)

From SFT to RL: Demystifying the Post-Training Pipeline for LLM-based Vulnerability Detection
por: Li, Youpeng, et al.
Publicado: (2026)

From Similarity to Vulnerability: Key Collision Attack on LLM Semantic Caching
por: Zhang, Zhixiang, et al.
Publicado: (2026)

DCVD: Dual-Channel Cross-Modal Fusion for Joint Vulnerability Detection and Localization
por: Tang, Wenxin, et al.
Publicado: (2026)

Demystifying the Role of Rule-based Detection in AI Systems for Windows Malware Detection
por: Ponte, Andrea, et al.
Publicado: (2025)

Proactive Detection of Physical Inter-rule Vulnerabilities in IoT Services Using a Deep Learning Approach
por: Huang, Bing, et al.
Publicado: (2024)