DeepGD: A Multi-Objective Black-Box Test Selection Approach for Deep
Neural Networks

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DeepGD: A Multi-Objective Black-Box Test Selection Approach for Deep Neural Networks

ACM Transactions on Software Engineering and Methodology (TOSEM), 2023

8 March 2023

Zohreh Aghababaeyan

Manel Abdellatif

Mahboubeh Dadkhah

Lionel C. Briand

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Papers citing "DeepGD: A Multi-Objective Black-Box Test Selection Approach for Deep Neural Networks"

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Title
Bias Testing and Mitigation in Black Box LLMs using Metamorphic Relations Sina Salimian Gias Uddin Sumon Biswas Henry Leung 40 0 0 29 Nov 2025
MetaSel: A Test Selection Approach for Fine-tuned DNN ModelsIEEE Transactions on Software Engineering (TSE), 2025 Amin Abbasishahkoo Mahboubeh Dadkhah Lionel C. Briand Dayi Lin 402 0 0 21 Mar 2025
DiffGAN: A Test Generation Approach for Differential Testing of Deep Neural Networks for Image AnalysisIEEE Transactions on Software Engineering (TSE), 2024 Zohreh Aghababaeyan Manel Abdellatif Lionel C. Briand Ramesh S DiffM 336 0 0 15 Oct 2024
SMARLA: A Safety Monitoring Approach for Deep Reinforcement Learning AgentsIEEE Transactions on Software Engineering (TSE), 2023 Amirhossein Zolfagharian Manel Abdellatif Lionel C. Briand S. Ramesh 277 11 0 03 Aug 2023