A systematic survey of LLM-based text-to-SQL: methodologies, security vulnerabilities, and future challenges

Background Text-to-Structured Query Language (SQL) systems, which allow users to query databases using natural language, have advanced significantly with the rise of Large Language Models (LLMs). While this progress has boosted accuracy, it has also introduced serious security and practical deployme...

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Auteurs principaux:	Chien Dinh Bui, Ha Hoang Nguyen, Tao Quoc Ngo, Huyen Khanh Vu-Thi, Chien Hong Nguyen, Duc Van Nguyen, Son Tung Ngo
Format:	Artigo
Langue:	Inglês
Publié:	PeerJ Inc. 2026-04-01
Collection:	PeerJ Computer Science
Sujets:	Text-to-SQL Large language models Security vulnerabilities Prompt injection Systematic survey
Accès en ligne:	https://peerj.com/articles/cs-3773.pdf
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