3 papers
cs.DB2025
SQLBarber: A System Leveraging Large Language Models to Generate Customized and Realistic SQL Workloads
Jiale Lao, Immanuel Trummer
Database research and development often require a large number of SQL queries for benchmarking purposes. However, acquiring real-world SQL queries is challenging due to privacy con…
cs.DB2025
QUITE: A Query Rewrite System Beyond Rules with LLM Agents
Yuyang Song, Hanxu Yan, Jiale Lao +5
Query rewrite transforms SQL queries into semantically equivalent forms that run more efficiently. Existing approaches mainly rely on predefined rewrite rules, but they handle a li…
cs.CR2025
Are Your LLM-based Text-to-SQL Models Secure? Exploring SQL Injection via Backdoor Attacks
Meiyu Lin, Haichuan Zhang, Jiale Lao +5
Large language models (LLMs) have shown state-of-the-art results in translating natural language questions into SQL queries (Text-to-SQL), a long-standing challenge within the data…