34 citations · 39 across the 6 of their papers we have counts for
3 papers · 1 filter
CAFD: Concept-Aware DNN Fault Detection using VLMs
Amin Abbasishahkoo, Mahboubeh Dadkhah, Lionel Briand
Fault detection for Deep Neural Networks (DNNs) has received increasing attention in recent years. While more advanced hybrid approaches have been proposed to combine multiple sour…
MetaSel: A Test Selection Approach for Fine-tuned DNN Models
Amin Abbasishahkoo, Mahboubeh Dadkhah, Lionel Briand +1
Deep Neural Networks (DNNs) face challenges during deployment due to covariate shift, i.e., data distribution shifts between development and deployment contexts. Fine-tuning adapts…
DeepGD: A Multi-Objective Black-Box Test Selection Approach for Deep Neural Networks
Zohreh Aghababaeyan, Manel Abdellatif, Mahboubeh Dadkhah +1
Deep neural networks (DNNs) are widely used in various application domains such as image processing, speech recognition, and natural language processing. However, testing DNN model…