Imagen de Portada

Artificial-Intelligence Generated Code Considered Harmful: A Road Map for Secure and High-Quality Code Generation

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Chong, Chun Jie, Yao, Zhihao, Neamtiu, Iulian
Formato:	Preprint
Publicado:	2024
Materias:	Cryptography and Security Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Knock, Knock. Who's There? On the Security of LG's Knock Codes
por: Samuel, Raina, et al.
Publicado: (2020)

A Mixture of Linear Corrections Generates Secure Code
por: Yu, Weichen, et al.
Publicado: (2025)

Ocassionally Secure: A Comparative Analysis of Code Generation Assistants
por: Elgedawy, Ran, et al.
Publicado: (2024)

CodeBC: A More Secure Large Language Model for Smart Contract Code Generation in Blockchain
por: Wang, Lingxiang, et al.
Publicado: (2025)

HardSecBench: Benchmarking the Security Awareness of LLMs for Hardware Code Generation
por: Chen, Qirui, et al.
Publicado: (2026)

VibeGuard: A Security Gate Framework for AI-Generated Code
por: Xie, Ying
Publicado: (2026)

SecPI: Secure Code Generation with Reasoning Models via Security Reasoning Internalization
por: Wang, Hao, et al.
Publicado: (2026)

Casper: Prompt Sanitization for Protecting User Privacy in Web-Based Large Language Models
por: Chong, Chun Jie, et al.
Publicado: (2024)

Demo: SGCode: A Flexible Prompt-Optimizing System for Secure Generation of Code
por: Ton, Khiem, et al.
Publicado: (2024)

Investigating Security Implications of Automatically Generated Code on the Software Supply Chain
por: Li, Xiaofan, et al.
Publicado: (2025)

Enhancing Source Code Security with LLMs: Demystifying The Challenges and Generating Reliable Repairs
por: Islam, Nafis Tanveer, et al.
Publicado: (2024)

ESAA-Security: An Event-Sourced, Verifiable Architecture for Agent-Assisted Security Audits of AI-Generated Code
por: Filho, Elzo Brito dos Santos
Publicado: (2026)

Marking Code Without Breaking It: Code Watermarking for Detecting LLM-Generated Code
por: Kim, Jungin, et al.
Publicado: (2025)

AI Code Generators for Security: Friend or Foe?
por: Natella, Roberto, et al.
Publicado: (2024)

SafeGenBench: A Benchmark Framework for Security Vulnerability Detection in LLM-Generated Code
por: Li, Xinghang, et al.
Publicado: (2025)

Integrating Artificial Open Generative Artificial Intelligence into Software Supply Chain Security
por: Alevizos, Vasileios, et al.
Publicado: (2024)

Fortifying LLM-Based Code Generation with Graph-Based Reasoning on Secure Coding Practices
por: Patir, Rupam, et al.
Publicado: (2025)

DUALGUAGE: Automated Joint Security-Functionality Benchmarking for Secure Code Generation
por: Pathak, Abhijeet, et al.
Publicado: (2025)

Enhancing Reliability in LLM-Based Secure Code Generation
por: Kharma, Mohammed F., et al.
Publicado: (2026)

LLM-CSEC: Empirical Evaluation of Security in C/C++ Code Generated by Large Language Models
por: Shahid, Muhammad Usman, et al.
Publicado: (2025)

SeCodePLT: A Unified Platform for Evaluating the Security of Code GenAI
por: Nie, Yuzhou, et al.
Publicado: (2024)

ImportSnare: Directed "Code Manual" Hijacking in Retrieval-Augmented Code Generation
por: Ye, Kai, et al.
Publicado: (2025)

The Hidden Risks of LLM-Generated Web Application Code: A Security-Centric Evaluation of Code Generation Capabilities in Large Language Models
por: Dora, Swaroop, et al.
Publicado: (2025)

Learning to Generate Secure Code via Token-Level Rewards
por: Quan, Jiazheng, et al.
Publicado: (2026)

Breaking the Code: Security Assessment of AI Code Agents Through Systematic Jailbreaking Attacks
por: Saha, Shoumik, et al.
Publicado: (2025)

LLM4CodeRE: Generative AI for Code Decompilation Analysis and Reverse Engineering
por: Jelodar, Hamed, et al.
Publicado: (2026)

Constrained Decoding for Secure Code Generation
por: Fu, Yanjun, et al.
Publicado: (2024)

Instruction Tuning for Secure Code Generation
por: He, Jingxuan, et al.
Publicado: (2024)

The Coding Limits of Robust Watermarking for Generative Models
por: Francati, Danilo, et al.
Publicado: (2025)

CODE ACROSTIC: Robust Watermarking for Code Generation
por: Lin, Li, et al.
Publicado: (2025)

Towards Precise Detection of Personal Information Leaks in Mobile Health Apps
por: Ardalani, Alireza, et al.
Publicado: (2024)

SecRepoBench: Benchmarking Code Agents for Secure Code Completion in Real-World Repositories
por: Shen, Chihao, et al.
Publicado: (2025)

Is Your Prompt Poisoning Code? Defect Induction Rates and Security Mitigation Strategies
por: Wang, Bin, et al.
Publicado: (2025)

Benchmarking Prompt Engineering Techniques for Secure Code Generation with GPT Models
por: Bruni, Marc, et al.
Publicado: (2025)

An Empirical Evaluation of LLM-Generated Code Security Across Prompting Methods
por: Kharma, Mohammed, et al.
Publicado: (2026)

Artificial Intelligence as the New Hacker: Developing Agents for Offensive Security
por: Valencia, Leroy Jacob
Publicado: (2024)

Towards more Practical Threat Models in Artificial Intelligence Security
por: Grosse, Kathrin, et al.
Publicado: (2023)

UniMark: Artificial Intelligence Generated Content Identification Toolkit
por: Li, Meilin, et al.
Publicado: (2025)

LLM-based Vulnerable Code Augmentation: Generate or Refactor?
por: Ouchebara, Dyna Soumhane, et al.
Publicado: (2025)

Running in CIRCLE? A Simple Benchmark for LLM Code Interpreter Security
por: Chua, Gabriel
Publicado: (2025)