Image de couverture de livre

VGX: Large-Scale Sample Generation for Boosting Learning-Based Software Vulnerability Analyses

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Nong, Yu, Fang, Richard, Yi, Guangbei, Zhao, Kunsong, Luo, Xiapu, Chen, Feng, Cai, Haipeng
Format:	Preprint
Publié:	2023
Sujets:	Software Engineering
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

SVA-ICL: Improving LLM-based Software Vulnerability Assessment via In-Context Learning and Information Fusion
par: Gao, Chaoyang, et autres
Publié: (2025)

APPATCH: Automated Adaptive Prompting Large Language Models for Real-World Software Vulnerability Patching
par: Nong, Yu, et autres
Publié: (2024)

Coverage Goal Selector for Combining Multiple Criteria in Search-Based Unit Test Generation
par: Zhou, Zhichao, et autres
Publié: (2023)

No Need to Lift a Finger Anymore? Assessing the Quality of Code Generation by ChatGPT
par: Liu, Zhijie, et autres
Publié: (2023)

SliceLocator: Locating Vulnerable Statements with Graph-based Detectors
par: Cheng, Baijun, et autres
Publié: (2024)

An Empirical Study on Challenges for LLM Application Developers
par: Chen, Xiang, et autres
Publié: (2024)

Large Language Models for Software Engineering: A Systematic Literature Review
par: Hou, Xinyi, et autres
Publié: (2023)

All Your Tokens are Belong to Us: Demystifying Address Verification Vulnerabilities in Solidity Smart Contracts
par: Sun, Tianle, et autres
Publié: (2024)

LLM-CompDroid: Repairing Configuration Compatibility Bugs in Android Apps with Pre-trained Large Language Models
par: Liu, Zhijie, et autres
Publié: (2024)

Discovery of Timeline and Crowd Reaction of Software Vulnerability Disclosures
par: Heng, Yi Wen, et autres
Publié: (2024)

Benchmarking Large Language Models for Multi-Language Software Vulnerability Detection
par: Zhang, Ting, et autres
Publié: (2025)

Governing the Commons: Code Ownership and Code-Clones in Large-Scale Software Development
par: Sundelin, Anders, et autres
Publié: (2024)

Explaining Software Vulnerabilities with Large Language Models
par: Johnson, Oshando, et autres
Publié: (2025)

Improving Data Curation of Software Vulnerability Patches through Uncertainty Quantification
par: Chen, Hui, et autres
Publié: (2024)

The Promise and Pitfalls of WebAssembly: Perspectives from the Industry
par: He, Ningyu, et autres
Publié: (2025)

Scaling Symbolic Execution to Large Software Systems
par: Horvath, Gabor, et autres
Publié: (2024)

An Exploratory Study of Bayesian Prompt Optimization for Test-Driven Code Generation with Large Language Models
par: Tomar, Shlok, et autres
Publié: (2025)

Human-Written vs. AI-Generated Code: A Large-Scale Study of Defects, Vulnerabilities, and Complexity
par: Cotroneo, Domenico, et autres
Publié: (2025)

Cascaded Vulnerability Attacks in Software Supply Chains
par: Baird, Laura, et autres
Publié: (2026)

Correct Code, Vulnerable Dependencies: A Large Scale Measurement Study of LLM-Specified Library Versions
par: Wang, Chengjie, et autres
Publié: (2026)

SAFE: Advancing Large Language Models in Leveraging Semantic and Syntactic Relationships for Software Vulnerability Detection
par: Nguyen, Van, et autres
Publié: (2024)

Enhancing Software Vulnerability Detection Through Adaptive Test Input Generation Using Genetic Algorithm
par: Mehendran, Yanusha, et autres
Publié: (2025)

Pros and Cons! Evaluating ChatGPT on Software Vulnerability
par: Yin, Xin
Publié: (2024)

Leveraging Self-Paced Learning for Software Vulnerability Detection
par: Cheng, Zeru, et autres
Publié: (2025)

Advanced Vulnerability Scanning for Open Source Software: Detection and Mitigation of Log4j Vulnerabilities
par: Wen, Victor, et autres
Publié: (2026)

FDI: Attack Neural Code Generation Systems through User Feedback Channel
par: Sun, Zhensu, et autres
Publié: (2024)

Boosting Vulnerability Detection with Inter-function Multilateral Association Insights
par: Qiu, Shaojian, et autres
Publié: (2025)

A Survey on Large Language Models for Software Engineering
par: Zhang, Quanjun, et autres
Publié: (2023)

Identifying Critical Dependencies in Large-Scale Continuous Software Engineering
par: Tkalich, Anastasiia, et autres
Publié: (2025)

Augmenting Software Bills of Materials with Software Vulnerability Description: A Preliminary Study on GitHub
par: Fucci, Davide, et autres
Publié: (2025)

Causative Insights into Open Source Software Security using Large Language Code Embeddings and Semantic Vulnerability Graph
par: Islam, Nafis Tanveer, et autres
Publié: (2024)

Prompt-Enhanced Software Vulnerability Detection Using ChatGPT
par: Zhang, Chenyuan, et autres
Publié: (2023)

A Systematic Mapping Study on Risks and Vulnerabilities in Software Containers
par: Sroor, Maha, et autres
Publié: (2025)

Understanding Software Vulnerabilities in the Maven Ecosystem: Patterns, Timelines, and Risks
par: Rabbi, Md Fazle, et autres
Publié: (2025)

Multitask-based Evaluation of Open-Source LLM on Software Vulnerability
par: Yin, Xin, et autres
Publié: (2024)

Fixseeker: An Empirical Driven Graph-based Approach for Detecting Silent Vulnerability Fixes in Open Source Software
par: Cheng, Yiran, et autres
Publié: (2025)

Context-Enhanced Vulnerability Detection Based on Large Language Model
par: Yang, Yixin, et autres
Publié: (2025)

Propagation-Based Vulnerability Impact Assessment for Software Supply Chains
par: Ruan, Bonan, et autres
Publié: (2025)

A Systematic Study on Generating Web Vulnerability Proof-of-Concepts Using Large Language Models
par: Zhao, Mengyao, et autres
Publié: (2025)

Customer Validation, Feedback and Collaboration in Large-Scale Continuous Software Development
par: Molamphy, David
Publié: (2025)