DeepEvolution: A Search-Based Testing Approach for Deep Neural Networks

5 September 2019

Papers citing "DeepEvolution: A Search-Based Testing Approach for Deep Neural Networks"

9 / 9 papers shown

Title
Towards Assessing Deep Learning Test Input Generators Seif Mzoughi Ahmed Hajyahmed Mohamed Elshafei Foutse Khomh anb Diego Elias Costa D. Costa AAML 94 0 0 03 Apr 2025
DiffGAN: A Test Generation Approach for Differential Testing of Deep Neural Networks Zohreh Aghababaeyan Manel Abdellatif Lionel C. Briand Ramesh S DiffM 93 0 0 15 Oct 2024
FedDebug: Systematic Debugging for Federated Learning Applications Waris Gill A. Anwar Muhammad Ali Gulzar FedML 98 11 0 09 Jan 2023
Physics-Guided Adversarial Machine Learning for Aircraft Systems Simulation Houssem Ben Braiek Thomas Reid Foutse Khomh AAML 31 3 0 07 Sep 2022
Testing Feedforward Neural Networks Training Programs Houssem Ben Braiek Foutse Khomh AAML 54 16 0 01 Apr 2022
How to Certify Machine Learning Based Safety-critical Systems? A Systematic Literature Review Florian Tambon Gabriel Laberge Le An Amin Nikanjam Paulina Stevia Nouwou Mindom Y. Pequignot Foutse Khomh G. Antoniol E. Merlo François Laviolette 113 70 0 26 Jul 2021
HOMRS: High Order Metamorphic Relations Selector for Deep Neural Networks Florian Tambon G. Antoniol Foutse Khomh AAML 31 0 0 10 Jul 2021
Automatic Fault Detection for Deep Learning Programs Using Graph Transformations Amin Nikanjam Houssem Ben Braiek Mohammad Mehdi Morovati Foutse Khomh GNN 40 29 0 17 May 2021
A Software Engineering Perspective on Engineering Machine Learning Systems: State of the Art and Challenges G. Giray 86 133 0 14 Dec 2020