Copertina

Think Broad, Act Narrow: CWE Identification with Multi-Agent Large Language Models

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Sayagh, Mohammed, Ghafari, Mohammad
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Cryptography and Security Software Engineering
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

From Generalist to Specialist: Exploring CWE-Specific Vulnerability Detection
di: Atiiq, Syafiq Al, et al.
Pubblicazione: (2024)

Automated Testing of Broken Authentication Vulnerabilities in Web APIs with AuthREST
di: Corradini, Davide, et al.
Pubblicazione: (2025)

Gameful Introduction to Cryptography for Dyslexic Students
di: Rahartomo, Argianto, et al.
Pubblicazione: (2024)

From Struggle to Simplicity with a Usable and Secure API for Encryption in Java
di: Firouzi, Ehsan, et al.
Pubblicazione: (2024)

LLM Security Guard for Code
di: Kavian, Arya, et al.
Pubblicazione: (2024)

Out of Distribution, Out of Luck: How Well Can LLMs Trained on Vulnerability Datasets Detect Top 25 CWE Weaknesses?
di: Li, Yikun, et al.
Pubblicazione: (2025)

Benchmarking Prompt Engineering Techniques for Secure Code Generation with GPT Models
di: Bruni, Marc, et al.
Pubblicazione: (2025)

CASTLE: Benchmarking Dataset for Static Code Analyzers and LLMs towards CWE Detection
di: Dubniczky, Richard A., et al.
Pubblicazione: (2025)

Large Language Models for Secure Code Assessment: A Multi-Language Empirical Study
di: Dozono, Kohei, et al.
Pubblicazione: (2024)

LLM4CVE: Enabling Iterative Automated Vulnerability Repair with Large Language Models
di: Fakih, Mohamad, et al.
Pubblicazione: (2025)

Security and Quality in LLM-Generated Code: A Multi-Language, Multi-Model Analysis
di: Kharma, Mohammed, et al.
Pubblicazione: (2025)

Large Language Models-Aided Program Debloating
di: Lin, Bo, et al.
Pubblicazione: (2025)

Large Language Model assisted Hybrid Fuzzing
di: Meng, Ruijie, et al.
Pubblicazione: (2024)

Residual Risk Analysis in Benign Code: How Far Are We? A Multi-Model Semantic and Structural Similarity Approach
di: Farhad, Mohammad, et al.
Pubblicazione: (2026)

On the effectiveness of Large Language Models for GitHub Workflows
di: Zhang, Xinyu, et al.
Pubblicazione: (2024)

FuzzAgent: Multi-Agent System for Evolutionary Library Fuzzing
di: Lyu, Yunlong, et al.
Pubblicazione: (2026)

Introducing Systems Thinking as a Framework for Teaching and Assessing Threat Modeling Competency
di: Joshi, Siddhant S., et al.
Pubblicazione: (2024)

ThreMoLIA: Threat Modeling of Large Language Model-Integrated Applications
di: Jedrzejewski, Felix Viktor, et al.
Pubblicazione: (2025)

Threat Modelling and Risk Analysis for Large Language Model (LLM)-Powered Applications
di: Tete, Stephen Burabari
Pubblicazione: (2024)

Evaluating Large Language Models in detecting Secrets in Android Apps
di: Alecci, Marco, et al.
Pubblicazione: (2025)

Understanding the Supply Chain and Risks of Large Language Model Applications
di: Ma, Yujie, et al.
Pubblicazione: (2025)

Evaluating Large Language Models for Line-Level Vulnerability Localization
di: Zhang, Jian, et al.
Pubblicazione: (2024)

Harnessing Large Language Models for Seed Generation in Greybox Fuzzing
di: Shi, Wenxuan, et al.
Pubblicazione: (2024)

On the Adversarial Robustness of Instruction-Tuned Large Language Models for Code
di: Hossen, Md Imran, et al.
Pubblicazione: (2024)

Security Bug Report Prediction Within and Across Projects: A Comparative Study of BERT and Random Forest
di: Soltaniani, Farnaz, et al.
Pubblicazione: (2025)

An Empirical Study on the Effectiveness of Large Language Models for Binary Code Understanding
di: Shang, Xiuwei, et al.
Pubblicazione: (2025)

HALURust: Exploiting Hallucinations of Large Language Models to Detect Vulnerabilities in Rust
di: Luo, Yu, et al.
Pubblicazione: (2025)

LineBreaker: Finding Token-Inconsistency Bugs with Large Language Models
di: Chen, Hongbo, et al.
Pubblicazione: (2024)

MAS-SZZ: Multi-Agentic SZZ Algorithm for Vulnerability-Inducing Commit Identification
di: Cao, Sicong, et al.
Pubblicazione: (2026)

On Trojan Signatures in Large Language Models of Code
di: Hussain, Aftab, et al.
Pubblicazione: (2024)

MalCVE: Malware Detection and CVE Association Using Large Language Models
di: Cristea, Eduard Andrei, et al.
Pubblicazione: (2025)

Large Language Models for Code Analysis: Do LLMs Really Do Their Job?
di: Fang, Chongzhou, et al.
Pubblicazione: (2023)

LLM4Fuzz: Guided Fuzzing of Smart Contracts with Large Language Models
di: Shou, Chaofan, et al.
Pubblicazione: (2024)

SkillProbe: Security Auditing for Emerging Agent Skill Marketplaces via Multi-Agent Collaboration
di: Guo, Zihan, et al.
Pubblicazione: (2026)

Multi-Agent Taint Specification Extraction for Vulnerability Detection
di: Ghebremichael, Jonah, et al.
Pubblicazione: (2026)

RepoMark: A Data-Usage Auditing Framework for Code Large Language Models
di: Qu, Wenjie, et al.
Pubblicazione: (2025)

Metaverse Security and Privacy Research: A Systematic Review
di: Rahartomo, Argianto, et al.
Pubblicazione: (2025)

Assessing the Software Security Comprehension of Large Language Models
di: Siddiq, Mohammed Latif, et al.
Pubblicazione: (2025)

GenSIaC: Toward Security-Aware Infrastructure-as-Code Generation with Large Language Models
di: Li, Yikun, et al.
Pubblicazione: (2025)

How Far Have We Gone in Binary Code Understanding Using Large Language Models
di: Shang, Xiuwei, et al.
Pubblicazione: (2024)