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

8 March 2023

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

6 / 6 papers shown

Title
MetaSel: A Test Selection Approach for Fine-tuned DNN Models Amin Abbasishahkoo Mahboubeh Dadkhah Lionel C. Briand Dayi Lin 49 0 0 21 Mar 2025
DiffGAN: A Test Generation Approach for Differential Testing of Deep Neural Networks Zohreh Aghababaeyan Manel Abdellatif Lionel C. Briand Ramesh S DiffM 39 0 0 15 Oct 2024
Robust Black-box Testing of Deep Neural Networks using Co-Domain Coverage Aishwarya Gupta Indranil Saha Piyush Rai AAML MLAU 24 1 0 13 Aug 2024
SMARLA: A Safety Monitoring Approach for Deep Reinforcement Learning Agents Amirhossein Zolfagharian Manel Abdellatif Lionel C. Briand S. Ramesh 25 5 0 03 Aug 2023
A Survey on Deep Learning in Medical Image Analysis G. Litjens Thijs Kooi B. Bejnordi A. Setio F. Ciompi Mohsen Ghafoorian Jeroen van der Laak Bram van Ginneken C. I. Sánchez OOD 295 10,618 0 19 Feb 2017
Determinantal point processes for machine learning Alex Kulesza B. Taskar 162 1,122 0 25 Jul 2012