Image de couverture de livre

Fortifying LLM-Based Code Generation with Graph-Based Reasoning on Secure Coding Practices

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Patir, Rupam, Guo, Keyan, Cai, Haipeng, Hu, Hongxin
Format:	Preprint
Publié:	2025
Sujets:	Cryptography and Security Artificial Intelligence Software Engineering
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

DUALGUAGE: Automated Joint Security-Functionality Benchmarking for Secure Code Generation
par: Pathak, Abhijeet, et autres
Publié: (2025)

Security of LLM-generated Code: A Comparative Analysis
par: Morkonda, Srivathsan G, et autres
Publié: (2026)

Learning to Generate Secure Code via Token-Level Rewards
par: Quan, Jiazheng, et autres
Publié: (2026)

AI Code Generators for Security: Friend or Foe?
par: Natella, Roberto, et autres
Publié: (2024)

Measuring and Exploiting Contextual Bias in LLM-Assisted Security Code Review
par: Mitropoulos, Dimitris, et autres
Publié: (2026)

QLPro: Automated Code Vulnerability Discovery via LLM and Static Code Analysis Integration
par: Hu, Junze, et autres
Publié: (2025)

Poisoning Programs by Un-Repairing Code: Security Concerns of AI-generated Code
par: Improta, Cristina
Publié: (2024)

Benchmarking Prompt Engineering Techniques for Secure Code Generation with GPT Models
par: Bruni, Marc, et autres
Publié: (2025)

DeepGuard: Secure Code Generation via Multi-Layer Semantic Aggregation
par: Huang, Li, et autres
Publié: (2026)

Broken by Default: A Formal Verification Study of Security Vulnerabilities in AI-Generated Code
par: Blain, Dominik, et autres
Publié: (2026)

Towards Secure Logging: Characterizing and Benchmarking Logging Code Security Issues with LLMs
par: Yuan, He Yang, et autres
Publié: (2026)

MalCodeAI: Autonomous Vulnerability Detection and Remediation via Language Agnostic Code Reasoning
par: Gajjar, Jugal, et autres
Publié: (2025)

Constrained Decoding for Secure Code Generation
par: Fu, Yanjun, et autres
Publié: (2024)

Instruction Tuning for Secure Code Generation
par: He, Jingxuan, et autres
Publié: (2024)

ProSec: Fortifying Code LLMs with Proactive Security Alignment
par: Xu, Xiangzhe, et autres
Publié: (2024)

Towards Privacy-Preserving Code Generation: Differentially Private Code Language Models
par: Catal, Melih, et autres
Publié: (2025)

An Empirical Study of Code Obfuscation Practices in the Google Play Store
par: Niroshan, Akila, et autres
Publié: (2025)

From Detection to Prevention: Explaining Security-Critical Code to Avoid Vulnerabilities
par: Krishnamurthy, Ranjith, et autres
Publié: (2026)

Secure Code Generation at Scale with Reflexion
par: Datta, Arup, et autres
Publié: (2025)

Empirical Study of Code Large Language Models for Binary Security Patch Detection
par: Li, Qingyuan, et autres
Publié: (2025)

Code Security Vulnerability Repair Using Reinforcement Learning with Large Language Models
par: Islam, Nafis Tanveer, et autres
Publié: (2024)

CKGFuzzer: LLM-Based Fuzz Driver Generation Enhanced By Code Knowledge Graph
par: Xu, Hanxiang, et autres
Publié: (2024)

Detecting Data Poisoning in Code Generation LLMs via Black-Box, Vulnerability-Oriented Scanning
par: Yan, Shenao, et autres
Publié: (2026)

Reflection-Driven Control for Trustworthy Code Agents
par: Wang, Bin, et autres
Publié: (2025)

Benchmark of Benchmarks: Unpacking Influence and Code Repository Quality in LLM Safety Benchmarks
par: Chu, Junjie, et autres
Publié: (2026)

Prompting Techniques for Secure Code Generation: A Systematic Investigation
par: Tony, Catherine, et autres
Publié: (2024)

Beyond Trusting Trust: Multi-Model Validation for Robust Code Generation
par: McDanel, Bradley
Publié: (2025)

SPDZCoder: Combining Expert Knowledge with LLMs for Generating Privacy-Computing Code
par: Dong, Xiaoning, et autres
Publié: (2024)

How Do Semantically Equivalent Code Transformations Impact Membership Inference on LLMs for Code?
par: Yang, Hua, et autres
Publié: (2025)

The Invisible Hand: Unveiling Provider Bias in Large Language Models for Code Generation
par: Zhang, Xiaoyu, et autres
Publié: (2025)

LLM Security Guard for Code
par: Kavian, Arya, et autres
Publié: (2024)

SecCodeBench-V2 Technical Report
par: Chen, Longfei, et autres
Publié: (2026)

CodeHacker: Automated Test Case Generation for Detecting Vulnerabilities in Competitive Programming Solutions
par: Shi, Jingwei, et autres
Publié: (2026)

An LLM-Assisted Easy-to-Trigger Backdoor Attack on Code Completion Models: Injecting Disguised Vulnerabilities against Strong Detection
par: Yan, Shenao, et autres
Publié: (2024)

PatUntrack: Automated Generating Patch Examples for Issue Reports without Tracked Insecure Code
par: Jiang, Ziyou, et autres
Publié: (2024)

Traces of Memorisation in Large Language Models for Code
par: Al-Kaswan, Ali, et autres
Publié: (2023)

Implicit Patterns in LLM-Based Binary Analysis
par: Li, Qiang, et autres
Publié: (2026)

An Empirical Security Evaluation of LLM-Generated Cryptographic Rust Code
par: Elsayed, Mohamed, et autres
Publié: (2026)

Harnessing the Power of LLMs in Source Code Vulnerability Detection
par: Mahyari, Andrew A
Publié: (2024)

SecureVibeBench: Benchmarking Secure Vibe Coding of AI Agents via Reconstructing Vulnerability-Introducing Scenarios
par: Chen, Junkai, et autres
Publié: (2025)