2 papers
cs.SE2025
MirrorFuzz: Leveraging LLM and Shared Bugs for Deep Learning Framework APIs Fuzzing
Shiwen Ou, Yuwei Li, Lu Yu +6
Deep learning (DL) frameworks serve as the backbone for a wide range of artificial intelligence applications. However, bugs within DL frameworks can cascade into critical issues in…
cs.CR2024
An Empirical Study on the Distance Metric in Guiding Directed Grey-box Fuzzing
Tingke Wen, Yuwei Li, Lu Zhang +2
Directed grey-box fuzzing (DGF) aims to discover vulnerabilities in specific code areas efficiently. Distance metric, which is used to measure the quality of seed in DGF, is a cruc…