Copertina

You Only Train Once: A Flexible Training Framework for Code Vulnerability Detection Driven by Vul-Vector

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Tian, Bowen, Xu, Zhengyang, Wu, Mingqiang, Lai, Songning, Yue, Yutai
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Software Engineering Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

VulWeaver: Weaving Broken Semantics for Grounded Vulnerability Detection
di: Cao, Yiheng, et al.
Pubblicazione: (2026)

VulCoCo: A Simple Yet Effective Method for Detecting Vulnerable Code Clones
di: Bui, Tan, et al.
Pubblicazione: (2025)

Coding-PTMs: How to Find Optimal Code Pre-trained Models for Code Embedding in Vulnerability Detection?
di: Zhao, Yu, et al.
Pubblicazione: (2024)

MulVul: Retrieval-augmented Multi-Agent Code Vulnerability Detection via Cross-Model Prompt Evolution
di: Wu, Zihan, et al.
Pubblicazione: (2026)

Trained Without My Consent: Detecting Code Inclusion In Language Models Trained on Code
di: Majdinasab, Vahid, et al.
Pubblicazione: (2024)

VulAgent: Hypothesis-Validation based Multi-Agent Vulnerability Detection
di: Wang, Ziliang, et al.
Pubblicazione: (2025)

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

UntrustVul: An Automated Approach for Identifying Untrustworthy Alerts in Vulnerability Detection Models
di: Tung, Lam Nguyen, et al.
Pubblicazione: (2025)

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

SecVulEval: Benchmarking LLMs for Real-World C/C++ Vulnerability Detection
di: Ahmed, Md Basim Uddin, et al.
Pubblicazione: (2025)

Themis: Training Robust Multilingual Code Reward Models for Flexible Multi-Criteria Scoring
di: Paul, Indraneil, et al.
Pubblicazione: (2026)

StagedVulBERT: Multi-Granular Vulnerability Detection with a Novel Pre-trained Code Model
di: Jiang, Yuan, et al.
Pubblicazione: (2024)

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

VulStamp: Vulnerability Assessment using Large Language Model
di: Shen, Hao, et al.
Pubblicazione: (2025)

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

Zero-Shot Vulnerability Detection in Low-Resource Smart Contracts Through Solidity-Only Training
di: Hu, Minghao, et al.
Pubblicazione: (2026)

VulGuard: An Unified Tool for Evaluating Just-In-Time Vulnerability Prediction Models
di: Nguyen, Duong, et al.
Pubblicazione: (2025)

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

Signature in Code Backdoor Detection, how far are we?
di: Le, Quoc Hung, et al.
Pubblicazione: (2025)

Vul-RAG: Enhancing LLM-based Vulnerability Detection via Knowledge-level RAG
di: Du, Xueying, et al.
Pubblicazione: (2024)

Enhancing Large Language Models with Faster Code Preprocessing for Vulnerability Detection
di: Gonçalves, José, et al.
Pubblicazione: (2025)

K-ASTRO: Structure-Aware Adaptation of LLMs for Code Vulnerability Detection
di: Zhang, Yifan, et al.
Pubblicazione: (2022)

PLMGH: What Matters in PLM-GNN Hybrids for Code Classification and Vulnerability Detection
di: Idrissi, Mohamed Taoufik Kaouthar El, et al.
Pubblicazione: (2026)

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

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

Pre-Training Representations of Binary Code Using Contrastive Learning
di: Zhang, Yifan, et al.
Pubblicazione: (2022)

Enhancing Software Vulnerability Detection Using Code Property Graphs and Convolutional Neural Networks
di: Saimbhi, Amanpreet Singh
Pubblicazione: (2025)

Vul-R2: A Reasoning LLM for Automated Vulnerability Repair
di: Wen, Xin-Cheng, et al.
Pubblicazione: (2025)

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

Training Language Model Agents to Find Vulnerabilities with CTF-Dojo
di: Zhuo, Terry Yue, et al.
Pubblicazione: (2025)

VulRTex: A Reasoning-Guided Approach to Identify Vulnerabilities from Rich-Text Issue Report
di: Jiang, Ziyou, et al.
Pubblicazione: (2025)

LeetCodeDataset: A Temporal Dataset for Robust Evaluation and Efficient Training of Code LLMs
di: Xia, Yunhui, et al.
Pubblicazione: (2025)

Detecting LLM-generated Code with Subtle Modification by Adversarial Training
di: Yin, Xin, et al.
Pubblicazione: (2025)

DFEPT: Data Flow Embedding for Enhancing Pre-Trained Model Based Vulnerability Detection
di: Jiang, Zhonghao, et al.
Pubblicazione: (2024)

TritonRL: Training LLMs to Think and Code Triton Without Cheating
di: Woo, Jiin, et al.
Pubblicazione: (2025)

VFDelta: A Framework for Detecting Silent Vulnerability Fixes by Enhancing Code Change Learning
di: Yang, Xu, et al.
Pubblicazione: (2024)

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

ReVul-CoT: Towards Effective Software Vulnerability Assessment with Retrieval-Augmented Generation and Chain-of-Thought Prompting
di: Chen, Zhijie, et al.
Pubblicazione: (2025)

An Exploratory Investigation into Code License Infringements in Large Language Model Training Datasets
di: Katzy, Jonathan, et al.
Pubblicazione: (2024)

Context-Enhanced Vulnerability Detection Based on Large Language Model
di: Yang, Yixin, et al.
Pubblicazione: (2025)