SmartFuzz: Leveraging Large Language Models and Feature Composition to Generate High-Quality Seeds for Database Fuzzing
SmartFuzz, an automated framework for synthesizing high-quality initial SQL seeds for mutation-based DBMS fuzzing using Large Language Models (LLMs), is proposed and demonstrated that it significantly improves bug discovery and code coverage compared to state-of-the-art mutation-based fuzzers.