Copertina

Expert-in-the-Loop Systems with Cross-Domain and In-Domain Few-Shot Learning for Software Vulnerability Detection

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Farr, David, Talty, Kevin, Farr, Alexandra, Stockdale, John, Cruickshank, Iain, West, Jevin
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Cryptography and Security Software Engineering
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

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

On the Difficulty of Selecting Few-Shot Examples for Effective LLM-based Vulnerability Detection
di: Hannan, Md Abdul, et al.
Pubblicazione: (2025)

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

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

Deep Learning Aided Software Vulnerability Detection: A Survey
di: Uddin, Md Nizam, et al.
Pubblicazione: (2025)

SHERLOCK: A Deep Learning Approach To Detect Software Vulnerabilities
di: Jawwadh, Saadh, et al.
Pubblicazione: (2025)

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

AI-Based Software Vulnerability Detection: A Systematic Literature Review
di: Shimmi, Samiha, et al.
Pubblicazione: (2025)

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

SCALE: Constructing Structured Natural Language Comment Trees for Software Vulnerability Detection
di: Wen, Xin-Cheng, et al.
Pubblicazione: (2024)

CrossInspector: A Static Analysis Approach for Cross-Contract Vulnerability Detection
di: Chen, Xiao
Pubblicazione: (2024)

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

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

From Generalist to Specialist: Exploring CWE-Specific Vulnerability Detection
di: Atiiq, Syafiq Al, et al.
Pubblicazione: (2024)

Coca: Improving and Explaining Graph Neural Network-Based Vulnerability Detection Systems
di: Cao, Sicong, et al.
Pubblicazione: (2024)

DLAP: A Deep Learning Augmented Large Language Model Prompting Framework for Software Vulnerability Detection
di: Yang, Yanjing, et al.
Pubblicazione: (2024)

Propagation-Based Vulnerability Impact Assessment for Software Supply Chains
di: Ruan, Bonan, et al.
Pubblicazione: (2025)

Tracing Vulnerability Propagation Across Open Source Software Ecosystems
di: Ruohonen, Jukka, et al.
Pubblicazione: (2025)

On the Prevalence and Usage of Commit Signing on GitHub: A Longitudinal and Cross-Domain Study
di: Sharma, Anupam, et al.
Pubblicazione: (2025)

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

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

A Comprehensive Study on the Impact of Vulnerable Dependencies on Open-Source Software
di: Kumar, Shree Hari Bittugondanahalli Indra, et al.
Pubblicazione: (2025)

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

Vulnerability Detection with Interprocedural Context in Multiple Languages: Assessing Effectiveness and Cost of Modern LLMs
di: Lira, Kevin, et al.
Pubblicazione: (2026)

VERCATION: Precise Vulnerable Open-source Software Version Identification based on Static Analysis and LLM
di: Cheng, Yiran, et al.
Pubblicazione: (2024)

Vulnerability Patching Across Software Products and Software Components: A Case Study of Red Hat's Product Portfolio
di: Ruohonen, Jukka, et al.
Pubblicazione: (2025)

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

Retrieval-Augmented Few-Shot Prompting Versus Fine-Tuning for Code Vulnerability Detection
di: Trad, Fouad, et al.
Pubblicazione: (2025)

Efficient Software Vulnerability Detection Using Transformer-based Models
di: Shaik, Sameer, et al.
Pubblicazione: (2026)

MVD: A Multi-Lingual Software Vulnerability Detection Framework
di: Zhang, Boyu, et al.
Pubblicazione: (2024)

120 Domain-Specific Languages for Security
di: Krausz, Markus, et al.
Pubblicazione: (2024)

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

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

Beyond Metadata: Code-centric and Usage-based Analysis of Known Vulnerabilities in Open-source Software
di: Ponta, Serena E., et al.
Pubblicazione: (2018)

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

Understanding the Changing Landscape of Automotive Software Vulnerabilities: Insights from a Seven-Year Analysis
di: Basu, Srijita, et al.
Pubblicazione: (2025)

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

APPATCH: Automated Adaptive Prompting Large Language Models for Real-World Software Vulnerability Patching
di: Nong, Yu, et al.
Pubblicazione: (2024)

A Study on Mixup-Inspired Augmentation Methods for Software Vulnerability Detection
di: Daneshvar, Seyed Shayan, et al.
Pubblicazione: (2025)

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