Saved in:
| Main Authors: | Haque, Radowanul, Ali, Aftab, McClean, Sally, Khan, Naveed |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2507.16540 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Graph Neural Networks for Vulnerability Detection: A Counterfactual Explanation
by: Chu, Zhaoyang, et al.
Published: (2024)
by: Chu, Zhaoyang, et al.
Published: (2024)
Software Vulnerability Detection Using a Lightweight Graph Neural Network
by: Farmer, Miles, et al.
Published: (2026)
by: Farmer, Miles, et al.
Published: (2026)
Evaluating LLMs for One-Shot Patching of Real and Artificial Vulnerabilities
by: Garg, Aayush, et al.
Published: (2025)
by: Garg, Aayush, et al.
Published: (2025)
Smart-LLaMA-DPO: Reinforced Large Language Model for Explainable Smart Contract Vulnerability Detection
by: Yu, Lei, et al.
Published: (2025)
by: Yu, Lei, et al.
Published: (2025)
VULPO: Context-Aware Vulnerability Detection via On-Policy LLM Optimization
by: Li, Youpeng, et al.
Published: (2025)
by: Li, Youpeng, et al.
Published: (2025)
LLbezpeky: Leveraging Large Language Models for Vulnerability Detection
by: Mathews, Noble Saji, et al.
Published: (2024)
by: Mathews, Noble Saji, et al.
Published: (2024)
Data and Context Matter: Towards Generalizing AI-based Software Vulnerability Detection
by: Safdar, Rijha, et al.
Published: (2025)
by: Safdar, Rijha, et al.
Published: (2025)
Bridging Semantics & Structure for Software Vulnerability Detection using Hybrid Network Models
by: Gajjar, Jugal, et al.
Published: (2025)
by: Gajjar, Jugal, et al.
Published: (2025)
Vulnerability-Hunter: An Adaptive Feature Perception Attention Network for Smart Contract Vulnerabilities
by: Chen, Yizhou
Published: (2024)
by: Chen, Yizhou
Published: (2024)
Taint-Style Vulnerability Detection and Confirmation for Node.js Packages Using LLM Agent Reasoning
by: Ni, Ronghao, et al.
Published: (2026)
by: Ni, Ronghao, et al.
Published: (2026)
Coca: Improving and Explaining Graph Neural Network-Based Vulnerability Detection Systems
by: Cao, Sicong, et al.
Published: (2024)
by: Cao, Sicong, et al.
Published: (2024)
An Empirical Study of Vulnerabilities in Python Packages and Their Detection
by: Quan, Haowei, et al.
Published: (2025)
by: Quan, Haowei, et al.
Published: (2025)
An Empirical Study of Vulnerability Detection using Federated Learning
by: Zhou, Peiheng, et al.
Published: (2024)
by: Zhou, Peiheng, et al.
Published: (2024)
Harnessing the Power of LLMs in Source Code Vulnerability Detection
by: Mahyari, Andrew A
Published: (2024)
by: Mahyari, Andrew A
Published: (2024)
Detecting Vulnerabilities from Issue Reports for Internet-of-Things
by: Masoumzadeh, Sogol
Published: (2025)
by: Masoumzadeh, Sogol
Published: (2025)
How Effective Are Neural Networks for Fixing Security Vulnerabilities
by: Wu, Yi, et al.
Published: (2023)
by: Wu, Yi, et al.
Published: (2023)
Profile of Vulnerability Remediations in Dependencies Using Graph Analysis
by: Vera, Fernando, et al.
Published: (2024)
by: Vera, Fernando, et al.
Published: (2024)
VulDetectBench: Evaluating the Deep Capability of Vulnerability Detection with Large Language Models
by: Liu, Yu, et al.
Published: (2024)
by: Liu, Yu, et al.
Published: (2024)
From Detection to Prevention: Explaining Security-Critical Code to Avoid Vulnerabilities
by: Krishnamurthy, Ranjith, et al.
Published: (2026)
by: Krishnamurthy, Ranjith, et al.
Published: (2026)
Knowdit: Agentic Smart Contract Vulnerability Detection with Auditing Knowledge Summarization
by: Kong, Ziqiao, et al.
Published: (2026)
by: Kong, Ziqiao, et al.
Published: (2026)
Focus on What Matters: Fisher-Guided Adaptive Multimodal Fusion for Vulnerability Detection
by: Bian, Yun, et al.
Published: (2026)
by: Bian, Yun, et al.
Published: (2026)
MAVUL: Multi-Agent Vulnerability Detection via Contextual Reasoning and Interactive Refinement
by: Li, Youpeng, et al.
Published: (2025)
by: Li, Youpeng, et al.
Published: (2025)
GPTScan: Detecting Logic Vulnerabilities in Smart Contracts by Combining GPT with Program Analysis
by: Sun, Yuqiang, et al.
Published: (2023)
by: Sun, Yuqiang, et al.
Published: (2023)
Retrieval-Augmented Few-Shot Prompting Versus Fine-Tuning for Code Vulnerability Detection
by: Trad, Fouad, et al.
Published: (2025)
by: Trad, Fouad, et al.
Published: (2025)
Code Security Vulnerability Repair Using Reinforcement Learning with Large Language Models
by: Islam, Nafis Tanveer, et al.
Published: (2024)
by: Islam, Nafis Tanveer, et al.
Published: (2024)
Towards Secure and Explainable Smart Contract Generation with Security-Aware Group Relative Policy Optimization
by: Yu, Lei, et al.
Published: (2025)
by: Yu, Lei, et al.
Published: (2025)
MegaVul: A C/C++ Vulnerability Dataset with Comprehensive Code Representation
by: Ni, Chao, et al.
Published: (2024)
by: Ni, Chao, et al.
Published: (2024)
VulReaD: Knowledge-Graph-guided Software Vulnerability Reasoning and Detection
by: Mukhtar, Samal, et al.
Published: (2026)
by: Mukhtar, Samal, et al.
Published: (2026)
Harnessing Large Language Models for Software Vulnerability Detection: A Comprehensive Benchmarking Study
by: Tamberg, Karl, et al.
Published: (2024)
by: Tamberg, Karl, et al.
Published: (2024)
From SFT to RL: Demystifying the Post-Training Pipeline for LLM-based Vulnerability Detection
by: Li, Youpeng, et al.
Published: (2026)
by: Li, Youpeng, et al.
Published: (2026)
EaTVul: ChatGPT-based Evasion Attack Against Software Vulnerability Detection
by: Liu, Shigang, et al.
Published: (2024)
by: Liu, Shigang, et al.
Published: (2024)
CodeHacker: Automated Test Case Generation for Detecting Vulnerabilities in Competitive Programming Solutions
by: Shi, Jingwei, et al.
Published: (2026)
by: Shi, Jingwei, et al.
Published: (2026)
SAGA: Detecting Security Vulnerabilities Using Static Aspect Analysis
by: Marquer, Yoann, et al.
Published: (2026)
by: Marquer, Yoann, et al.
Published: (2026)
AEGIS: From Clues to Verdicts -- Graph-Guided Deep Vulnerability Reasoning via Dialectics and Meta-Auditing
by: Fang, Sen, et al.
Published: (2026)
by: Fang, Sen, et al.
Published: (2026)
MalCodeAI: Autonomous Vulnerability Detection and Remediation via Language Agnostic Code Reasoning
by: Gajjar, Jugal, et al.
Published: (2025)
by: Gajjar, Jugal, et al.
Published: (2025)
SAEL: Leveraging Large Language Models with Adaptive Mixture-of-Experts for Smart Contract Vulnerability Detection
by: Yu, Lei, et al.
Published: (2025)
by: Yu, Lei, et al.
Published: (2025)
Detecting Data Poisoning in Code Generation LLMs via Black-Box, Vulnerability-Oriented Scanning
by: Yan, Shenao, et al.
Published: (2026)
by: Yan, Shenao, et al.
Published: (2026)
Beyond Function-Level Analysis: Context-Aware Reasoning for Inter-Procedural Vulnerability Detection
by: Li, Yikun, et al.
Published: (2026)
by: Li, Yikun, et al.
Published: (2026)
MulVuln: Enhancing Pre-trained LMs with Shared and Language-Specific Knowledge for Multilingual Vulnerability Detection
by: Nguyen, Van, et al.
Published: (2025)
by: Nguyen, Van, et al.
Published: (2025)
An LLM-Assisted Easy-to-Trigger Backdoor Attack on Code Completion Models: Injecting Disguised Vulnerabilities against Strong Detection
by: Yan, Shenao, et al.
Published: (2024)
by: Yan, Shenao, et al.
Published: (2024)
Similar Items
-
Graph Neural Networks for Vulnerability Detection: A Counterfactual Explanation
by: Chu, Zhaoyang, et al.
Published: (2024) -
Software Vulnerability Detection Using a Lightweight Graph Neural Network
by: Farmer, Miles, et al.
Published: (2026) -
Evaluating LLMs for One-Shot Patching of Real and Artificial Vulnerabilities
by: Garg, Aayush, et al.
Published: (2025) -
Smart-LLaMA-DPO: Reinforced Large Language Model for Explainable Smart Contract Vulnerability Detection
by: Yu, Lei, et al.
Published: (2025) -
VULPO: Context-Aware Vulnerability Detection via On-Policy LLM Optimization
by: Li, Youpeng, et al.
Published: (2025)