4 citations · 4 across the 2 of their papers we have counts for
2 papers
cs.SE2026
Latent Regularization in Generative Test Input Generation
Giorgi Merabishvili, Oliver Weißl, Andrea Stocco
This study investigates the impact of regularization of latent spaces through truncation on the quality of generated test inputs for deep learning classifiers. We evaluate this eff…
cs.SE2024★ 4 cited
Targeted Deep Learning System Boundary Testing
Oliver Weißl, Amr Abdellatif, Xingcheng Chen +4
Evaluating the behavioral boundaries of deep learning (DL) systems is crucial for understanding their reliability across diverse, unseen inputs. Existing solutions fall short as th…