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LLMs in Software Security: A Survey of Vulnerability Detection Techniques and Insights
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Computer Security – ESORICS 2023
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Assessing the Effectiveness of LLMs in Android Application Vulnerability Analysis
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LSAST: Enhancing Cybersecurity Through LLM-Supported Static Application Security Testing
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The application of neural network for software vulnerability detection: a review
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Detecting command injection vulnerabilities in Linux-based embedded firmware with LLM-based taint analysis of library functions
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SmartGuard: An LLM-enhanced framework for smart contract vulnerability detection
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A survey on large language model (LLM) security and privacy: The Good, The Bad, and The Ugly
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GRACE: Empowering LLM-based software vulnerability detection with graph structure and in-context learning
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Vulnerability detection using BERT based LLM model with transparency obligation practice towards trustworthy AI
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Finetuning Large Language Models for Vulnerability Detection
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Proceedings 12th IEEE International Conference Automated Software Engineering
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D2A: A Dataset Built for AI-Based Vulnerability Detection Methods Using Differential Analysis
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2012 34th International Conference on Software Engineering (ICSE)
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LLM-CloudSec: Large Language Model Empowered Automatic and Deep Vulnerability Analysis for Intelligent Clouds
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IEEE Symposium on Security and Privacy
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VCMatch: A Ranking-based Approach for Automatic Security Patches Localization for OSS Vulnerabilities
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What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Vulnerability Detection: From Formal Verification to Large Language Models and Hybrid Approaches: A Comprehensive Overview
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Beyond Detection: Evaluating LLMs’ Semantic Understanding of Code Vulnerabilities
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A Modular DevSecOps Framework for Vulnerability Detection, Risk Scoring, and LLM-Augmented Remediation in CI/CD Environments
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Data-Driven Innovation in Cybersecurity for E-Business Information Systems: A Case Study on CVE Report Generation via LLM
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Is This Mission Possible? A Study on Developer Challenges in Using Generative AI for Secure Software Development in Industry
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MCTS-VUL: Self-training Large Language Models via Monte Carlo Tree Search for Vulnerability Detection
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Multi-domain CPS Vulnerability Detection via CWE-Specific Transformer Ensembles: A Cross-Attention Approach for IoT, Industrial, and Vehicular Systems
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Securing Metaverse Blockchain Infrastructure: LLM-Assisted Vulnerability Detection on Solana and Algorand Smart Contracts
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TriVul: Improving Precision of Static Vulnerability Detection through Multi-agent Reasoning
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SCTS: Self-Critique Tree Search for Out-of-Distribution Vulnerability Detection
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Sparse-MoE: Syntax-Aware Multi-view Mixture of Experts for Long-Sequence Software Vulnerability Detection
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HSF-Vul: hierarchical semantic fusion for vulnerability detection
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LPASS: Linear Probes as Stepping Stones for vulnerability detection using compressed LLMs
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