Fuzzing the Boundary between Models and Code in Hybrid AI-Enabled Systems
Deep learning (DL) techniques are increasingly integrated into traditional software systems, giving rise to hybrid AI-enabled systems that combine neural models with program logic. While these systems exhibit remarkable capabilities, their complex and heterogeneous architectures pose significant challenges for reliabil...
Xin-Yu Gao, Yang Feng, Yu-Chen Lu et al.
· 0 citations