Image de couverture de livre

LLM Security Guard for Code

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Kavian, Arya, Kallehbasti, Mohammad Mehdi Pourhashem, Kazemi, Sajjad, Firouzi, Ehsan, Ghafari, Mohammad
Format:	Preprint
Publié:	2024
Sujets:	Software Engineering Cryptography and Security
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

From Struggle to Simplicity with a Usable and Secure API for Encryption in Java
par: Firouzi, Ehsan, et autres
Publié: (2024)

Persistent Human Feedback, LLMs, and Static Analyzers for Secure Code Generation and Vulnerability Detection
par: Firouzi, Ehsan, et autres
Publié: (2026)

Think Broad, Act Narrow: CWE Identification with Multi-Agent Large Language Models
par: Sayagh, Mohammed, et autres
Publié: (2025)

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

Gameful Introduction to Cryptography for Dyslexic Students
par: Rahartomo, Argianto, et autres
Publié: (2024)

Automated Testing of Broken Authentication Vulnerabilities in Web APIs with AuthREST
par: Corradini, Davide, et autres
Publié: (2025)

Teaching an Old LLM Secure Coding: Localized Preference Optimization on Distilled Preferences
par: Hasan, Mohammad Saqib, et autres
Publié: (2025)

Time to Separate from StackOverflow and Match with ChatGPT for Encryption
par: Firouzi, Ehsan, et autres
Publié: (2024)

Can Developers rely on LLMs for Secure IaC Development?
par: Firouzi, Ehsan, et autres
Publié: (2026)

Exploring Security Practices in Infrastructure as Code: An Empirical Study
par: Verdet, Alexandre, et autres
Publié: (2023)

Metaverse Security and Privacy Research: A Systematic Review
par: Rahartomo, Argianto, et autres
Publié: (2025)

How to Compare the Security of Code Written by Humans to LLM-generated Code
par: Balebako, Rebecca, et autres
Publié: (2026)

How Secure is Secure Code Generation? Adversarial Prompts Put LLM Defenses to the Test
par: Tessa, Melissa, et autres
Publié: (2026)

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

Verbatim Data Transcription Failures in LLM Code Generation: A State-Tracking Stress Test
par: Haque, Mohd Ariful, et autres
Publié: (2026)

LLM-Enabled Open-Source Systems in the Wild: An Empirical Study of Vulnerabilities in GitHub Security Advisories
par: Shifat, Fariha Tanjim, et autres
Publié: (2026)

Fine-Tuning LLMs for Code Mutation: A New Era of Cyber Threats
par: Setak, Mohammad, et autres
Publié: (2024)

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

A Holistic Approach to E-Commerce Innovation: Redefining Security and User Experience
par: Akash, Mohammad Olid Ali, et autres
Publié: (2025)

Residual Risk Analysis in Benign Code: How Far Are We? A Multi-Model Semantic and Structural Similarity Approach
par: Farhad, Mohammad, et autres
Publié: (2026)

SCAFFOLD-CEGIS: Preventing Latent Security Degradation in LLM-Driven Iterative Code Refinement
par: Chen, Yi, et autres
Publié: (2026)

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

Security Incentivization: An Empirical Study of how Micropayments Impact Code Security
par: Rass, Stefan, et autres
Publié: (2026)

Fixing Security Vulnerabilities with AI in OSS-Fuzz
par: Zhang, Yuntong, et autres
Publié: (2024)

SecCodePRM: A Process Reward Model for Code Security
par: Yu, Weichen, et autres
Publié: (2026)

Secure Coding with AI -- From Detection to Repair
par: Belozerov, Vladislav, et autres
Publié: (2025)

An Adaptive Hybrid Recommender System for Requirements Reuse
par: Mohammad Mehdi Pourhashem Kallehbasti, et autres
Publié: (2026)

ChatGPT's Potential in Cryptography Misuse Detection: A Comparative Analysis with Static Analysis Tools
par: Firouzi, Ehsan, et autres
Publié: (2024)

LeakGuard: Detecting Memory Leaks Accurately and Scalably
par: Liang, Hongliang, et autres
Publié: (2025)

Give LLMs a Security Course: Securing Retrieval-Augmented Code Generation via Knowledge Injection
par: Lin, Bo, et autres
Publié: (2025)

Security of Language Models for Code: A Systematic Literature Review
par: Chen, Yuchen, et autres
Publié: (2024)

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

GraphQLer: Enhancing GraphQL Security with Context-Aware API Testing
par: Tsai, Omar, et autres
Publié: (2025)

Exploring the Security Threats of Retriever Backdoors in Retrieval-Augmented Code Generation
par: Li, Tian, et autres
Publié: (2025)

CodableLLM: Automating Decompiled and Source Code Mapping for LLM Dataset Generation
par: Manuel, Dylan, et autres
Publié: (2025)

Fortifying LLM-Based Code Generation with Graph-Based Reasoning on Secure Coding Practices
par: Patir, Rupam, et autres
Publié: (2025)

Does Teaming-Up LLMs Improve Secure Code Generation? A Comprehensive Evaluation with Multi-LLMSecCodeEval
par: Sabir, Bushra, et autres
Publié: (2026)

HighGuard: Cross-Chain Business Logic Monitoring of Smart Contracts
par: Eshghie, Mojtaba, et autres
Publié: (2023)

Assessing Vulnerability in Smart Contracts: The Role of Code Complexity Metrics in Security Analysis
par: Tehrani, Masoud Jamshidiyan
Publié: (2024)

Exploring the Security Threats of Knowledge Base Poisoning in Retrieval-Augmented Code Generation
par: Lin, Bo, et autres
Publié: (2025)