Cover Image

How secure is AI-generated Code: A Large-Scale Comparison of Large Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Tihanyi, Norbert, Bisztray, Tamas, Ferrag, Mohamed Amine, Jain, Ridhi, Cordeiro, Lucas C.
Format:	Preprint
Published:	2024
Subjects:	Cryptography and Security Artificial Intelligence Programming Languages
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

CyberMetric: A Benchmark Dataset based on Retrieval-Augmented Generation for Evaluating LLMs in Cybersecurity Knowledge
by: Tihanyi, Norbert, et al.
Published: (2024)

Securing Tomorrow's Smart Cities: Investigating Software Security in Internet of Vehicles and Deep Learning Technologies
by: Jain, Ridhi, et al.
Published: (2024)

CASTLE: Benchmarking Dataset for Static Code Analyzers and LLMs towards CWE Detection
by: Dubniczky, Richard A., et al.
Published: (2025)

The Hidden DNA of LLM-Generated JavaScript: Structural Patterns Enable High-Accuracy Authorship Attribution
by: Tihanyi, Norbert, et al.
Published: (2025)

Generative AI in Cybersecurity: A Comprehensive Review of LLM Applications and Vulnerabilities
by: Ferrag, Mohamed Amine, et al.
Published: (2024)

You Have Been LaTeXpOsEd: A Systematic Analysis of Information Leakage in Preprint Archives Using Large Language Models
by: Dubniczky, Richard A., et al.
Published: (2025)

Revolutionizing Cyber Threat Detection with Large Language Models: A privacy-preserving BERT-based Lightweight Model for IoT/IIoT Devices
by: Ferrag, Mohamed Amine, et al.
Published: (2023)

The FormAI Dataset: Generative AI in Software Security Through the Lens of Formal Verification
by: Tihanyi, Norbert, et al.
Published: (2023)

DFIR-Metric: A Benchmark Dataset for Evaluating Large Language Models in Digital Forensics and Incident Response
by: Cherif, Bilel, et al.
Published: (2025)

Vulnerability Detection: From Formal Verification to Large Language Models and Hybrid Approaches: A Comprehensive Overview
by: Tihanyi, Norbert, et al.
Published: (2025)

A New Era in Software Security: Towards Self-Healing Software via Large Language Models and Formal Verification
by: Tihanyi, Norbert, et al.
Published: (2023)

SecureFalcon: Are We There Yet in Automated Software Vulnerability Detection with LLMs?
by: Ferrag, Mohamed Amine, et al.
Published: (2023)

From Prompt Injections to Protocol Exploits: Threats in LLM-Powered AI Agents Workflows
by: Ferrag, Mohamed Amine, et al.
Published: (2025)

Edge Learning for 6G-enabled Internet of Things: A Comprehensive Survey of Vulnerabilities, Datasets, and Defenses
by: Ferrag, Mohamed Amine, et al.
Published: (2023)

$α^3$-SecBench: A Large-Scale Evaluation Suite of Security, Resilience, and Trust for LLM-based UAV Agents over 6G Networks
by: Ferrag, Mohamed Amine, et al.
Published: (2026)

Malicious and Unintentional Disclosure Risks in Large Language Models for Code Generation
by: Rabin, Rafiqul, et al.
Published: (2025)

DeepCode AI Fix: Fixing Security Vulnerabilities with Large Language Models
by: Berabi, Berkay, et al.
Published: (2024)

Large Language Models for Code: Security Hardening and Adversarial Testing
by: He, Jingxuan, et al.
Published: (2023)

GenDFIR: Advancing Cyber Incident Timeline Analysis Through Retrieval Augmented Generation and Large Language Models
by: Loumachi, Fatma Yasmine, et al.
Published: (2024)

Compositional security definitions for higher-order where declassification
by: Menz, Jan, et al.
Published: (2026)

Understanding the Effectiveness of Large Language Models in Detecting Security Vulnerabilities
by: Khare, Avishree, et al.
Published: (2023)

SafeFFI: Efficient Sanitization at the Boundary Between Safe and Unsafe Code in Rust and Mixed-Language Applications
by: Braunsdorf, Oliver, et al.
Published: (2025)

The Secrets Must Not Flow: Scaling Security Verification to Large Codebases (extended version)
by: Arquint, Linard, et al.
Published: (2025)

Enhancing Large Language Models for Hardware Verification: A Novel SystemVerilog Assertion Dataset
by: Menon, Anand, et al.
Published: (2025)

MSWasm: Soundly Enforcing Memory-Safe Execution of Unsafe Code
by: Michael, Alexandra E., et al.
Published: (2022)

Code Generation for Cryptographic Kernels using Multi-word Modular Arithmetic on GPU
by: Zhang, Naifeng, et al.
Published: (2025)

LockForge: Automating Paper-to-Code for Logic Locking with Multi-Agent Reasoning LLMs
by: Saha, Akashdeep, et al.
Published: (2025)

SecRef*: Securely Sharing Mutable References Between Verified and Unverified Code in F*
by: Andrici, Cezar-Constantin, et al.
Published: (2025)

An Array Intermediate Language for Mixed Cryptography
by: Ding, Vivian, et al.
Published: (2024)

Smart Contract Languages: a comparative analysis
by: Bartoletti, Massimo, et al.
Published: (2024)

Language-Based Security for Low-Level MPC
by: Skalka, Christian, et al.
Published: (2024)

Fuzzing: Randomness? Reasoning! Efficient Directed Fuzzing via Large Language Models
by: Feng, Xiaotao, et al.
Published: (2025)

Automated Repeatable Adversary Threat Emulation with Effects Language (EL)
by: Damodaran, Suresh K., et al.
Published: (2025)

The Phish, The Spam, and The Valid: Generating Feature-Rich Emails for Benchmarking LLMs
by: Toth, Rebeka, et al.
Published: (2025)

Breaking Down the Defenses: A Comparative Survey of Attacks on Large Language Models
by: Chowdhury, Arijit Ghosh, et al.
Published: (2024)

A Language for Smart Contracts with Secure Control Flow (Technical Report)
by: Yao, Siqiu, et al.
Published: (2024)

Lightweight Yet Secure: Secure Scripting Language Generation via Lightweight LLMs
by: Zhang, Keyang, et al.
Published: (2026)

From Solitary Directives to Interactive Encouragement! LLM Secure Code Generation by Natural Language Prompting
by: Liu, Shigang, et al.
Published: (2024)

Reasoning Beyond Limits: Advances and Open Problems for LLMs
by: Ferrag, Mohamed Amine, et al.
Published: (2025)

Synthesizing Tight Privacy and Accuracy Bounds via Weighted Model Counting
by: Oakley, Lisa, et al.
Published: (2024)