Imagen de Portada

Learning Graph-based Patch Representations for Identifying and Assessing Silent Vulnerability Fixes

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Han, Mei, Wang, Lulu, Chang, Jianming, Li, Bixin, Zhang, Chunguang
Formato:	Preprint
Publicado:	2024
Materias:	Software Engineering
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Bridging Bug Localization and Issue Fixing: A Hierarchical Localization Framework Leveraging Large Language Models
por: Chang, Jianming, et al.
Publicado: (2025)

Fixseeker: An Empirical Driven Graph-based Approach for Detecting Silent Vulnerability Fixes in Open Source Software
por: Cheng, Yiran, et al.
Publicado: (2025)

Fast and Accurate Silent Vulnerability Fix Retrieval
por: Liu, Xueqing, et al.
Publicado: (2025)

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

SLICEMATE: Accurate and Scalable Static Program Slicing via LLM-Powered Agents
por: Chang, Jianming, et al.
Publicado: (2025)

PSCSelector: Appropriate Program Slicing Criteria Selection Based on Parameter‐Efficient Lightweight LLM
por: Jianming Chang, et al.
Publicado: (2026)

How the Training Procedure Impacts the Performance of Deep Learning-based Vulnerability Patching
por: Mastropaolo, Antonio, et al.
Publicado: (2024)

A Case Study of LLM for Automated Vulnerability Repair: Assessing Impact of Reasoning and Patch Validation Feedback
por: Kulsum, Ummay, et al.
Publicado: (2024)

Fixing Security Vulnerabilities with AI in OSS-Fuzz
por: Zhang, Yuntong, et al.
Publicado: (2024)

Patch Validation in Automated Vulnerability Repair
por: Yu, Zheng, et al.
Publicado: (2026)

Revisiting Vulnerability Patch Localization: An Empirical Study and LLM-Based Solution
por: Xu, Haoran, et al.
Publicado: (2025)

SliceLocator: Locating Vulnerable Statements with Graph-based Detectors
por: Cheng, Baijun, et al.
Publicado: (2024)

PatchFinder: A Two-Phase Approach to Security Patch Tracing for Disclosed Vulnerabilities in Open-Source Software
por: Li, Kaixuan, et al.
Publicado: (2024)

AtPatch: Debugging Transformers via Hot-Fixing Over-Attention
por: Weng, Shihao, et al.
Publicado: (2026)

Repository-Level Graph Representation Learning for Enhanced Security Patch Detection
por: Wen, Xin-Cheng, et al.
Publicado: (2024)

Revisiting Vulnerability Patch Identification on Data in the Wild
por: Irsan, Ivana Clairine, et al.
Publicado: (2026)

Evaluating Pre-Trained Models for Multi-Language Vulnerability Patching
por: Khan, Zanis Ali, et al.
Publicado: (2025)

CommitShield: Tracking Vulnerability Introduction and Fix in Version Control Systems
por: Wu, Zhaonan, et al.
Publicado: (2025)

Code Change Intention, Development Artifact and History Vulnerability: Putting Them Together for Vulnerability Fix Detection by LLM
por: Yang, Xu, et al.
Publicado: (2025)

On the Effectiveness of Code Representation in Deep Learning-Based Automated Patch Correctness Assessment
por: Zhang, Quanjun, et al.
Publicado: (2026)

Detecting the Root Cause Code Lines in Bug-Fixing Commits by Heterogeneous Graph Learning
por: Ji, Liguo, et al.
Publicado: (2025)

"Silent Is Not Actually Silent": An Investigation of Toxicity on Bug Report Discussion
por: Imran, Mia Mohammad, et al.
Publicado: (2025)

Chasing the Clock: How Fast Are Vulnerabilities Fixed in the Maven Ecosystem?
por: Rabbi, Md Fazle, et al.
Publicado: (2025)

Improving Data Curation of Software Vulnerability Patches through Uncertainty Quantification
por: Chen, Hui, et al.
Publicado: (2024)

JavaVFC: Java Vulnerability Fixing Commits from Open-source Software
por: Bui, Tan, et al.
Publicado: (2024)

SynthFix: Adaptive Neuro-Symbolic Code Vulnerability Repair
por: Zhang, Yifan, et al.
Publicado: (2026)

A Sentence-Level Approach to Understanding Software Vulnerability Fixes
por: Gao, Amiao, et al.
Publicado: (2025)

Empirical Research on Utilizing LLM-based Agents for Automated Bug Fixing via LangGraph
por: Wang, Jialin, et al.
Publicado: (2025)

LLM-Powered Silent Bug Fuzzing in Deep Learning Libraries via Versatile and Controlled Bug Transfer
por: Zhang, Kunpeng, et al.
Publicado: (2026)

Red Teaming Program Repair Agents: When Correct Patches can Hide Vulnerabilities
por: Chen, Simin, et al.
Publicado: (2025)

Fixing Smart Contract Vulnerabilities: A Comparative Analysis of Literature and Developer's Practices
por: Salzano, Francesco, et al.
Publicado: (2024)

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

Library Drift: Diagnosing and Fixing a Silent Failure Mode in Self-Evolving LLM Skill Libraries
por: Zhang, Xing, et al.
Publicado: (2026)

Test-based Patch Clustering for Automatically-Generated Patches Assessment
por: Martinez, Matias, et al.
Publicado: (2022)

Hints Help Finding and Fixing Bugs Differently in Python and Text-based Program Representations
por: Rawal, Ruchit, et al.
Publicado: (2024)

Beyond Crash-to-Patch: Patch Evolution for Linux Kernel Repair
por: Bai, Luyao, et al.
Publicado: (2026)

DESIL: Detecting Silent Bugs in MLIR Compiler Infrastructure
por: Suo, Chenyao, et al.
Publicado: (2025)

Learning Generalizable Multimodal Representations for Software Vulnerability Detection
por: Dong, Zeming, et al.
Publicado: (2026)

Parameter-Efficient Fine-Tuning with Attributed Patch Semantic Graph for Automated Patch Correctness Assessment
por: Yang, Zhenyu, et al.
Publicado: (2025)

PatchSeeker: Mapping NVD Records to their Vulnerability-fixing Commits with LLM Generated Commits and Embeddings
por: Nguyen, Huu Hung, et al.
Publicado: (2025)