Testing Deep Learning Library APIs via Cross-Framework Differential Fuzzing
Source
arxiv.org
Author
Bin Duan, Ruican Dong, Naipeng Dong, Dan Dongseong Kim, Guowei Yang
Date
Why it matters
Defects that behave the same on CPU and GPU slip past the usual differential oracle; comparing equivalent operations across seven DL libraries catches APIs that quietly disagree on boundary and non-finite inputs.
articleHarnessing LLMs for Document-Guided Fuzzing of Python LibrariesBin Duan, Tarek Mahmud, Meiru Che, Yan Yan, Naipeng Dong, Dan Dongseong Kim, Guowei Yang
articleFramework and Benchmark for Code-Driven Agentic Testing in Web DevelopmentBin Hong, Zhenchao Zhang, Jiyuan He, Kai Zhang, Zhenya Huang
articleFairLint-DL: An IDE-Native Tool for Fairness Debugging of Deep Learning SoftwareArchit Rathod, Saeid Tizpaz-Niari