Deep Learning Aided Software Vulnerability Detection: A Survey
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | Uddin, Md Nizam, Zhang, Yihe, Hei, Xiali |
|---|---|
| Format: | Preprint |
| Publié: |
2025
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
On the Adversarial Robustness of Instruction-Tuned Large Language Models for Code
par: Hossen, Md Imran, et autres
Publié: (2024)
par: Hossen, Md Imran, et autres
Publié: (2024)
SHERLOCK: A Deep Learning Approach To Detect Software Vulnerabilities
par: Jawwadh, Saadh, et autres
Publié: (2025)
par: Jawwadh, Saadh, et autres
Publié: (2025)
DLAP: A Deep Learning Augmented Large Language Model Prompting Framework for Software Vulnerability Detection
par: Yang, Yanjing, et autres
Publié: (2024)
par: Yang, Yanjing, et autres
Publié: (2024)
Game Rewards Vulnerabilities: Software Vulnerability Detection with Zero-Sum Game and Prototype Learning
par: Wen, Xin-Cheng, et autres
Publié: (2024)
par: Wen, Xin-Cheng, et autres
Publié: (2024)
AI-Based Software Vulnerability Detection: A Systematic Literature Review
par: Shimmi, Samiha, et autres
Publié: (2025)
par: Shimmi, Samiha, et autres
Publié: (2025)
Expert-in-the-Loop Systems with Cross-Domain and In-Domain Few-Shot Learning for Software Vulnerability Detection
par: Farr, David, et autres
Publié: (2025)
par: Farr, David, et autres
Publié: (2025)
VulEval: Towards Repository-Level Evaluation of Software Vulnerability Detection
par: Wen, Xin-Cheng, et autres
Publié: (2024)
par: Wen, Xin-Cheng, et autres
Publié: (2024)
SCALE: Constructing Structured Natural Language Comment Trees for Software Vulnerability Detection
par: Wen, Xin-Cheng, et autres
Publié: (2024)
par: Wen, Xin-Cheng, et autres
Publié: (2024)
Towards Causal Deep Learning for Vulnerability Detection
par: Rahman, Md Mahbubur, et autres
Publié: (2023)
par: Rahman, Md Mahbubur, et autres
Publié: (2023)
Propagation-Based Vulnerability Impact Assessment for Software Supply Chains
par: Ruan, Bonan, et autres
Publié: (2025)
par: Ruan, Bonan, et autres
Publié: (2025)
Generating Proof-of-Vulnerability Tests to Help Enhance the Security of Complex Software
par: Kanchi, Shravya, et autres
Publié: (2026)
par: Kanchi, Shravya, et autres
Publié: (2026)
MVD: A Multi-Lingual Software Vulnerability Detection Framework
par: Zhang, Boyu, et autres
Publié: (2024)
par: Zhang, Boyu, et autres
Publié: (2024)
A Comprehensive Study on the Impact of Vulnerable Dependencies on Open-Source Software
par: Kumar, Shree Hari Bittugondanahalli Indra, et autres
Publié: (2025)
par: Kumar, Shree Hari Bittugondanahalli Indra, et autres
Publié: (2025)
Vulnerability Patching Across Software Products and Software Components: A Case Study of Red Hat's Product Portfolio
par: Ruohonen, Jukka, et autres
Publié: (2025)
par: Ruohonen, Jukka, et autres
Publié: (2025)
Tracing Vulnerability Propagation Across Open Source Software Ecosystems
par: Ruohonen, Jukka, et autres
Publié: (2025)
par: Ruohonen, Jukka, et autres
Publié: (2025)
Integrating APK Image and Text Data for Enhanced Threat Detection: A Multimodal Deep Learning Approach to Android Malware
par: Arifin, Md Mashrur, et autres
Publié: (2026)
par: Arifin, Md Mashrur, et autres
Publié: (2026)
Does the Vulnerability Threaten Our Projects? Automated Vulnerable API Detection for Third-Party Libraries
par: Zhang, Fangyuan, et autres
Publié: (2024)
par: Zhang, Fangyuan, et autres
Publié: (2024)
Improving Smart Contract Security with Contrastive Learning-based Vulnerability Detection
par: Chen, Yizhou, et autres
Publié: (2024)
par: Chen, Yizhou, et autres
Publié: (2024)
Smart Cuts: Enhance Active Learning for Vulnerability Detection by Pruning Hard-to-Learn Data
par: Lan, Xiang, et autres
Publié: (2025)
par: Lan, Xiang, et autres
Publié: (2025)
VERCATION: Precise Vulnerable Open-source Software Version Identification based on Static Analysis and LLM
par: Cheng, Yiran, et autres
Publié: (2024)
par: Cheng, Yiran, et autres
Publié: (2024)
A Study on Mixup-Inspired Augmentation Methods for Software Vulnerability Detection
par: Daneshvar, Seyed Shayan, et autres
Publié: (2025)
par: Daneshvar, Seyed Shayan, et autres
Publié: (2025)
UEFI Vulnerability Signature Generation using Static and Symbolic Analysis
par: Shafiuzzaman, Md, et autres
Publié: (2024)
par: Shafiuzzaman, Md, et autres
Publié: (2024)
Guiding Symbolic Execution with Static Analysis and LLMs for Vulnerability Discovery
par: Shafiuzzaman, Md, et autres
Publié: (2026)
par: Shafiuzzaman, Md, et autres
Publié: (2026)
Efficient Software Vulnerability Detection Using Transformer-based Models
par: Shaik, Sameer, et autres
Publié: (2026)
par: Shaik, Sameer, et autres
Publié: (2026)
A Mixed-Methods Study of Open-Source Software Maintainers On Vulnerability Management and Platform Security Features
par: Ayala, Jessy, et autres
Publié: (2024)
par: Ayala, Jessy, et autres
Publié: (2024)
Detecting Protracted Vulnerabilities in Open Source Projects
par: Sridharkumar, Arjun, et autres
Publié: (2026)
par: Sridharkumar, Arjun, et autres
Publié: (2026)
Static Security Vulnerability Scanning of Proprietary and Open-Source Software: An Adaptable Process with Variants and Results
par: Cusick, James J.
Publié: (2025)
par: Cusick, James J.
Publié: (2025)
Understanding the Changing Landscape of Automotive Software Vulnerabilities: Insights from a Seven-Year Analysis
par: Basu, Srijita, et autres
Publié: (2025)
par: Basu, Srijita, et autres
Publié: (2025)
Investigating Vulnerability Disclosures in Open-Source Software Using Bug Bounty Reports and Security Advisories
par: Ayala, Jessy, et autres
Publié: (2025)
par: Ayala, Jessy, et autres
Publié: (2025)
Beyond Metadata: Code-centric and Usage-based Analysis of Known Vulnerabilities in Open-source Software
par: Ponta, Serena E., et autres
Publié: (2018)
par: Ponta, Serena E., et autres
Publié: (2018)
APPATCH: Automated Adaptive Prompting Large Language Models for Real-World Software Vulnerability Patching
par: Nong, Yu, et autres
Publié: (2024)
par: Nong, Yu, et autres
Publié: (2024)
HALURust: Exploiting Hallucinations of Large Language Models to Detect Vulnerabilities in Rust
par: Luo, Yu, et autres
Publié: (2025)
par: Luo, Yu, et autres
Publié: (2025)
Unity is Strength: Enhancing Precision in Reentrancy Vulnerability Detection of Smart Contract Analysis Tools
par: Wang, Zexu, et autres
Publié: (2024)
par: Wang, Zexu, et autres
Publié: (2024)
Many Tools, Few Exploitable Vulnerabilities: A Survey of 246 Static Code Analyzers for Security
par: Hermann, Kevin, et autres
Publié: (2026)
par: Hermann, Kevin, et autres
Publié: (2026)
A Slicing-Based Approach for Detecting and Patching Vulnerable Code Clones
par: Alomari, Hakam, et autres
Publié: (2025)
par: Alomari, Hakam, et autres
Publié: (2025)
Impact of Code Transformation on Detection of Smart Contract Vulnerabilities
par: Manh, Cuong Tran, et autres
Publié: (2024)
par: Manh, Cuong Tran, et autres
Publié: (2024)
Multi-Agent Taint Specification Extraction for Vulnerability Detection
par: Ghebremichael, Jonah, et autres
Publié: (2026)
par: Ghebremichael, Jonah, et autres
Publié: (2026)
Vulnerability Detection in Popular Programming Languages with Language Models
par: Atiiq, Syafiq Al, et autres
Publié: (2024)
par: Atiiq, Syafiq Al, et autres
Publié: (2024)
On the Effectiveness of Function-Level Vulnerability Detectors for Inter-Procedural Vulnerabilities
par: Li, Zhen, et autres
Publié: (2024)
par: Li, Zhen, et autres
Publié: (2024)
EaTVul: ChatGPT-based Evasion Attack Against Software Vulnerability Detection
par: Liu, Shigang, et autres
Publié: (2024)
par: Liu, Shigang, et autres
Publié: (2024)
Documents similaires
-
On the Adversarial Robustness of Instruction-Tuned Large Language Models for Code
par: Hossen, Md Imran, et autres
Publié: (2024) -
SHERLOCK: A Deep Learning Approach To Detect Software Vulnerabilities
par: Jawwadh, Saadh, et autres
Publié: (2025) -
DLAP: A Deep Learning Augmented Large Language Model Prompting Framework for Software Vulnerability Detection
par: Yang, Yanjing, et autres
Publié: (2024) -
Game Rewards Vulnerabilities: Software Vulnerability Detection with Zero-Sum Game and Prototype Learning
par: Wen, Xin-Cheng, et autres
Publié: (2024) -
AI-Based Software Vulnerability Detection: A Systematic Literature Review
par: Shimmi, Samiha, et autres
Publié: (2025)