IEEE

Machine Learning-Based Detection and Classification of SQL Injection Attacks Using a Stacking Ensemble Model

Abstract: SQL injection attacks pose a significant risk to web applications because they can grant unauthorized access to databases and private information. The purpose of this study is to detect and ...
IEEE

AID-SQL: Adaptive In-Context Learning of Text-to-SQL with Difficulty-Aware Instruction and Retrieval-Augmented Generation

Abstract: Recent research in Text-to-SQL translation has primarily adopted in-context learning methods leveraging large language models (LLMs), achieving significant progress. However, these methods ...