Copertina

SHERLOCK: A Deep Learning Approach To Detect Software Vulnerabilities

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Jawwadh, Saadh, Poravi, Guhanathan
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

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

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

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

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

Expert-in-the-Loop Systems with Cross-Domain and In-Domain Few-Shot Learning for Software Vulnerability Detection
di: Farr, David, et al.
Pubblicazione: (2025)

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

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

A Slicing-Based Approach for Detecting and Patching Vulnerable Code Clones
di: Alomari, Hakam, et al.
Pubblicazione: (2025)

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

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

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

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)

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

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

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

Smart Cuts: Enhance Active Learning for Vulnerability Detection by Pruning Hard-to-Learn Data
di: Lan, Xiang, et al.
Pubblicazione: (2025)

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

Efficient Software Vulnerability Detection Using Transformer-based Models
di: Shaik, Sameer, 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)

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)

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)

Towards Causal Deep Learning for Vulnerability Detection
di: Rahman, Md Mahbubur, et al.
Pubblicazione: (2023)

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

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

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

Integrating APK Image and Text Data for Enhanced Threat Detection: A Multimodal Deep Learning Approach to Android Malware
di: Arifin, Md Mashrur, et al.
Pubblicazione: (2026)

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

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

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

Harnessing Large Language Models for Software Vulnerability Detection: A Comprehensive Benchmarking Study
di: Tamberg, Karl, et al.
Pubblicazione: (2024)

Securing Tomorrow's Smart Cities: Investigating Software Security in Internet of Vehicles and Deep Learning Technologies
di: Jain, Ridhi, et al.
Pubblicazione: (2024)

A Ground-Truth-Based Evaluation of Vulnerability Detection Across Multiple Ecosystems
di: Mandl, Peter, et al.
Pubblicazione: (2026)

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

Lightweight Vulnerability Detection from Code Metrics and Token Features
di: Chiu, Chun Yin
Pubblicazione: (2026)

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

Bridging Semantics & Structure for Software Vulnerability Detection using Hybrid Network Models
di: Gajjar, Jugal, et al.
Pubblicazione: (2025)