As the complexity of autonomous vehicles (AVs) continues to increase and artificial
intelligence algorithms are becoming increasingly ubiquitous, a novel safety concern known …

Deep Neural Networks (DNNs) have been extensively used in many areas including image
processing, medical diagnostics and autonomous driving. However, DNNs can exhibit …

Deep Reinforcement Learning (DRL) algorithms have been increasingly employed during
the last decade to solve various decision-making problems such as autonomous driving …

Quality assurance of deep neural networks (DNNs) is crucial for the deployment of DNN-
based software, especially in mission-and safety-critical tasks. Inspired by structural white …

Multi-label Image Classification Systems (MICSs) developed based on Deep Neural
Networks (DNNs) are extensively used in people's daily life. Currently, although there are a …

Rigorous testing of machine learning models is necessary for trustworthy deployments. We
present a novel black-box approach for generating test-suites for robust testing of deep …

Deep learning systems have been used extensively in several fields in recent years, but
deep neural network (DNN) can also make incorrect decisions and lead to significant losses …

The Ha'a luha ritual is a ritual that is very attached to the Kemak Mi bei community. They
think this tradition is very sacred and is carried out yearly because of certain beliefs that …

Deep Neural Networks (DNNs) have been extensively used in many areas including image
processing, medical diagnostics and autonomous driving. However, DNNs can exhibit …

Deep neural networks (DNNs) have been closely related to the Pandora's box from the
moment of its birth. Although it achieves a high accuracy significantly in real‐world tasks (eg …