Testing Deep Learning Models: A First Comparative Study of Multiple Testing Techniques

no code implementations • 24 Feb 2022 • Mohit Kumar Ahuja, Arnaud Gotlieb, Helge Spieker

To discover faults in DL models, existing software testing methods have been adapted and refined accordingly.

Autonomous Driving

Mistake-driven Image Classification with FastGAN and SpinalNet

no code implementations • 29 Sep 2021 • Mohit Kumar Ahuja, Sahil Sahil, Helge Spieker

Image classification with classes of varying difficulty can cause performance disparity in deep learning models and reduce the overall performance and reliability of the predictions.

Classification Data Augmentation +1

Opening the Software Engineering Toolbox for the Assessment of Trustworthy AI

no code implementations • 14 Jul 2020 • Mohit Kumar Ahuja, Mohamed-Bachir Belaid, Pierre Bernabé, Mathieu Collet, Arnaud Gotlieb, Chhagan Lal, Dusica Marijan, Sagar Sen, Aizaz Sharif, Helge Spieker

Trustworthiness is a central requirement for the acceptance and success of human-centered artificial intelligence (AI).