Abstract Context: A Machine Learning based System (MLS) is a software system including
one or more components that learn how to perform a task from a given data set. The …

Machine learning has evolved into an enabling technology for a wide range of highly
successful applications. The potential for this success to continue and accelerate has placed …

This paper provides a comprehensive survey of techniques for testing machine learning
systems; Machine Learning Testing (ML testing) research. It covers 144 papers on testing …

The past decade has seen the great potential of applying deep neural network (DNN) based
software to safety-critical scenarios, such as autonomous driving. Similar to traditional …

In recent years, generative adversarial networks (GANs) and its variants have achieved
unprecedented success in image synthesis. They are widely adopted in synthesizing facial …

Context: Advancements in machine learning (ML) lead to a shift from the traditional view of
software development, where algorithms are hard-coded by humans, to ML systems …

As the GAN-based face image and video generation techniques, widely known as
DeepFakes, have become more and more matured and realistic, there comes a pressing …

Deep Learning (DL) has achieved tremendous success in many cutting-edge applications.
However, the state-of-the-art DL systems still suffer from quality issues. While some recent …

Recent advances in deep learning promote the innovation of many intelligent systems and
applications such as autonomous driving and image recognition. Despite enormous efforts …

Single-image deraining is rather challenging due to the unknown rain model. Existing
methods often make specific assumptions of the rain model, which can hardly cover many …