94 citations · 129 across the 3 of their papers we have counts for
3 papers
DiffGAN: A Test Generation Approach for Differential Testing of Deep Neural Networks for Image Analysis
Zohreh Aghababaeyan, Manel Abdellatif, Lionel Briand +1
Deep Neural Networks (DNNs) are increasingly deployed across applications. However, ensuring their reliability remains a challenge, and in many situations, alternative models with…
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…
Black-Box Testing of Deep Neural Networks Through Test Case Diversity
Zohreh Aghababaeyan, Manel Abdellatif, Lionel Briand +2
Deep Neural Networks (DNNs) have been extensively used in many areas including image processing, medical diagnostics, and autonomous driving. However, DNNs can exhibit erroneous be…