Copertina

R+R: Security Vulnerability Dataset Quality Is Critical

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Yadav, Anurag Swarnim, Wilson, Joseph N.
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Software Engineering Cryptography and Security
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

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

R+R: Reassessing Java Security API Misuse in Current LLMs: A Replication on JCA and JSSE APIs with External Security Knowledge
di: Lu, Tianhe, et al.
Pubblicazione: (2026)

An Empirical Study on the Security Vulnerabilities of GPTs
di: Wu, Tong, et al.
Pubblicazione: (2025)

Security study based on the Chatgptplugin system: ldentifying Security Vulnerabilities
di: Ren, Ruomai
Pubblicazione: (2025)

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

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

SAGA: Detecting Security Vulnerabilities Using Static Aspect Analysis
di: Marquer, Yoann, et al.
Pubblicazione: (2026)

From Detection to Prevention: Explaining Security-Critical Code to Avoid Vulnerabilities
di: Krishnamurthy, Ranjith, et al.
Pubblicazione: (2026)

Generating Proof-of-Vulnerability Tests to Help Enhance the Security of Complex Software
di: Kanchi, Shravya, et al.
Pubblicazione: (2026)

Improving Smart Contract Security with Contrastive Learning-based Vulnerability Detection
di: Chen, Yizhou, et al.
Pubblicazione: (2024)

Managing Security Evidence in Safety-Critical Organizations
di: Mohamad, Mazen, et al.
Pubblicazione: (2024)

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

Securing the Software Package Supply Chain for Critical Systems
di: Murali, Ritwik, et al.
Pubblicazione: (2025)

A Data-Mining Based Study of Security Vulnerability Types and Their Mitigation in Different Languages
di: Antal, Gábor, et al.
Pubblicazione: (2024)

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

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

Static Security Vulnerability Scanning of Proprietary and Open-Source Software: An Adaptable Process with Variants and Results
di: Cusick, James J.
Pubblicazione: (2025)

Investigating Vulnerability Disclosures in Open-Source Software Using Bug Bounty Reports and Security Advisories
di: Ayala, Jessy, et al.
Pubblicazione: (2025)

Many Tools, Few Exploitable Vulnerabilities: A Survey of 246 Static Code Analyzers for Security
di: Hermann, Kevin, et al.
Pubblicazione: (2026)

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

A Mixed-Methods Study of Open-Source Software Maintainers On Vulnerability Management and Platform Security Features
di: Ayala, Jessy, et al.
Pubblicazione: (2024)

LLM-Enabled Open-Source Systems in the Wild: An Empirical Study of Vulnerabilities in GitHub Security Advisories
di: Shifat, Fariha Tanjim, et al.
Pubblicazione: (2026)

Understanding, Implementing, and Supporting Security Assurance Cases in Safety-Critical Domains
di: Mohamad, Mazen
Pubblicazione: (2025)

Mono: Is Your "Clean" Vulnerability Dataset Really Solvable? Exposing and Trapping Undecidable Patches and Beyond
di: Gao, Zeyu, et al.
Pubblicazione: (2025)

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

On the Effectiveness of Function-Level Vulnerability Detectors for Inter-Procedural Vulnerabilities
di: Li, Zhen, et al.
Pubblicazione: (2024)

CrossCommitVuln-Bench: A Dataset of Multi-Commit Python Vulnerabilities Invisible to Per-Commit Static Analysis
di: Majumdar, Arunabh
Pubblicazione: (2026)

KernJC: Automated Vulnerable Environment Generation for Linux Kernel Vulnerabilities
di: Ruan, Bonan, 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)

Vulnerability-Hunter: An Adaptive Feature Perception Attention Network for Smart Contract Vulnerabilities
di: Chen, Yizhou
Pubblicazione: (2024)

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

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

A User-centered Security Evaluation of Copilot
di: Asare, Owura, et al.
Pubblicazione: (2023)

How Effective Are Neural Networks for Fixing Security Vulnerabilities
di: Wu, Yi, et al.
Pubblicazione: (2023)

Organizational Security Resource Estimation via Vulnerability Queueing
di: Etcibasi, Abdullah Y., et al.
Pubblicazione: (2026)

Smart Contract Fuzzing Towards Profitable Vulnerabilities
di: Kong, Ziqiao, et al.
Pubblicazione: (2025)

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

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

Root-Cause-Driven Automated Vulnerability Repair
di: Wang, Hulin, et al.
Pubblicazione: (2026)

Towards Demystifying and Repairing LLM-in-the-Loop Vulnerabilities
di: Ma, Yujie, et al.
Pubblicazione: (2026)