Cover Image

StagedVulBERT: Multi-Granular Vulnerability Detection with a Novel Pre-trained Code Model

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Jiang, Yuan, Zhang, Yujian, Su, Xiaohong, Treude, Christoph, Wang, Tiantian
Format:	Preprint
Published:	2024
Subjects:	Cryptography and Security Software Engineering
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

CleanVul: Automatic Function-Level Vulnerability Detection in Code Commits Using LLM Heuristics
by: Li, Yikun, et al.
Published: (2024)

MegaVul: A C/C++ Vulnerability Dataset with Comprehensive Code Representation
by: Ni, Chao, et al.
Published: (2024)

VulEval: Towards Repository-Level Evaluation of Software Vulnerability Detection
by: Wen, Xin-Cheng, et al.
Published: (2024)

VulKey: Automated Vulnerability Repair Guided by Domain-Specific Repair Patterns
by: Li, Jia, et al.
Published: (2026)

VulZoo: A Comprehensive Vulnerability Intelligence Dataset
by: Ruan, Bonan, et al.
Published: (2024)

VulInstruct: Teaching LLMs Root-Cause Reasoning for Vulnerability Detection via Security Specifications
by: Zhu, Hao, et al.
Published: (2025)

ReposVul: A Repository-Level High-Quality Vulnerability Dataset
by: Wang, Xinchen, et al.
Published: (2024)

VulDetectBench: Evaluating the Deep Capability of Vulnerability Detection with Large Language Models
by: Liu, Yu, et al.
Published: (2024)

Models Are Codes: Towards Measuring Malicious Code Poisoning Attacks on Pre-trained Model Hubs
by: Zhao, Jian, et al.
Published: (2024)

Revisiting Pre-trained Language Models for Vulnerability Detection
by: Li, Youpeng, et al.
Published: (2025)

Impact of Code Transformation on Detection of Smart Contract Vulnerabilities
by: Manh, Cuong Tran, et al.
Published: (2024)

VulCatch: Enhancing Binary Vulnerability Detection through CodeT5 Decompilation and KAN Advanced Feature Extraction
by: Chukkol, Abdulrahman Hamman Adama, et al.
Published: (2024)

MulVuln: Enhancing Pre-trained LMs with Shared and Language-Specific Knowledge for Multilingual Vulnerability Detection
by: Nguyen, Van, et al.
Published: (2025)

Unsupervised Binary Code Translation with Application to Code Similarity Detection and Vulnerability Discovery
by: Ahmad, Iftakhar, et al.
Published: (2024)

Enhancing Pre-Trained Language Models for Vulnerability Detection via Semantic-Preserving Data Augmentation
by: Qi, Weiliang, et al.
Published: (2024)

Detecting Malicious Intents in Smart Contracts with Pre-trained Programming Language Models
by: Huang, Youwei, et al.
Published: (2025)

How Code Representation Shapes False-Positive Dynamics in Cross-Language LLM Vulnerability Detection
by: Chen, Maofei, et al.
Published: (2026)

Lightweight Vulnerability Detection from Code Metrics and Token Features
by: Chiu, Chun Yin
Published: (2026)

VulReaD: Knowledge-Graph-guided Software Vulnerability Reasoning and Detection
by: Mukhtar, Samal, et al.
Published: (2026)

A Slicing-Based Approach for Detecting and Patching Vulnerable Code Clones
by: Alomari, Hakam, et al.
Published: (2025)

AutoVulnPHP: LLM-Powered Two-Stage PHP Vulnerability Detection and Automated Localization
by: Wang, Zhiqiang, et al.
Published: (2026)

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

Software Vulnerability Prediction in Low-Resource Languages: An Empirical Study of CodeBERT and ChatGPT
by: Le, Triet H. M., et al.
Published: (2024)

When Labels Are Scarce: A Systematic Mapping of Label-Efficient Code Vulnerability Detection
by: Khalal, Noor, et al.
Published: (2026)

Similar but Patched Code Considered Harmful -- The Impact of Similar but Patched Code on Recurring Vulnerability Detection and How to Remove Them
by: Tan, Zixuan, et al.
Published: (2024)

Vulnerability Detection in Popular Programming Languages with Language Models
by: Atiiq, Syafiq Al, et al.
Published: (2024)

Multi-Agent Collaborative Fuzzing with Continuous Reflection for Smart Contracts Vulnerability Detection
by: Chen, Jie, et al.
Published: (2025)

Uncover the Premeditated Attacks: Detecting Exploitable Reentrancy Vulnerabilities by Identifying Attacker Contracts
by: Yang, Shuo, et al.
Published: (2024)

Strategic Heterogeneous Multi-Agent Architecture for Cost-Effective Code Vulnerability Detection
by: Wang, Zhaohui Geoffrey
Published: (2026)

Is GitHub's Copilot as Bad as Humans at Introducing Vulnerabilities in Code?
by: Asare, Owura, et al.
Published: (2022)

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

Game Rewards Vulnerabilities: Software Vulnerability Detection with Zero-Sum Game and Prototype Learning
by: Wen, Xin-Cheng, et al.
Published: (2024)

Security Is Relative: Training-Free Vulnerability Detection via Multi-Agent Behavioral Contract Synthesis
by: Wang, Yongchao, et al.
Published: (2026)

Smart-LLaMA: Two-Stage Post-Training of Large Language Models for Smart Contract Vulnerability Detection and Explanation
by: Yu, Lei, et al.
Published: (2024)

Detecting Protracted Vulnerabilities in Open Source Projects
by: Sridharkumar, Arjun, et al.
Published: (2026)

Does the Vulnerability Threaten Our Projects? Automated Vulnerable API Detection for Third-Party Libraries
by: Zhang, Fangyuan, et al.
Published: (2024)

Harnessing the Power of LLMs in Source Code Vulnerability Detection
by: Mahyari, Andrew A
Published: (2024)

Assessing Vulnerability in Smart Contracts: The Role of Code Complexity Metrics in Security Analysis
by: Tehrani, Masoud Jamshidiyan
Published: (2024)

An LLM-Assisted Easy-to-Trigger Backdoor Attack on Code Completion Models: Injecting Disguised Vulnerabilities against Strong Detection
by: Yan, Shenao, et al.
Published: (2024)

Cross-Ecosystem Vulnerability Analysis for Python Applications
by: Alexopoulos, Georgios, et al.
Published: (2026)