3 papers
cs.SE2026
Improving Deep Learning Library Testing with Machine Learning
Facundo Molina, M M Abid Naziri, Feiran Qin +2
Deep Learning (DL) libraries like TensorFlow and Pytorch simplify machine learning (ML) model development but are prone to bugs due to their complex design. Bug-finding techniques…
cs.SE2025
Bug Histories as Sources of Compiler Fuzzing Mutators
Lingjun Liu, Feiran Qin, Owolabi Legunsen +1
Bugs in compilers, which are critical infrastructure today, can have outsized negative impacts. Mutational fuzzers aid compiler bug detection by systematically mutating compiler in…
cs.SE2025
Evaluating the Effectiveness of Coverage-Guided Fuzzing for Testing Deep Learning Library APIs
Feiran Qin, M. M. Abid Naziri, Hengyu Ai +2
Deep Learning (DL) libraries such as PyTorch provide the core components to build major AI-enabled applications. Finding bugs in these libraries is important and challenging. Prior…