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cs.LG2026
HyperNet-Adaptation for Diffusion-Based Test Case Generation
Oliver Weißl, Vincenzo Riccio, Severin Kacianka +1
The increasing deployment of deep learning systems requires systematic evaluation of their reliability in real-world scenarios. Traditional gradient-based adversarial attacks intro…
cs.LG2024★ 1 cited
Benchmarking Generative AI Models for Deep Learning Test Input Generation
Maryam, Matteo Biagiola, Andrea Stocco +1
Test Input Generators (TIGs) are crucial to assess the ability of Deep Learning (DL) image classifiers to provide correct predictions for inputs beyond their training and test sets…