Machine-Learning-as-a-Service (MLaaS) has become a widespread paradigm, making
even the most complex Machine Learning models available for clients via, eg, a pay-per …

Deep learning models have achieved great success in solving a variety of natural language
processing (NLP) problems. An ever-growing body of research, however, illustrates the …

Abstract The Right to be Forgotten is part of the recently enacted General Data Protection
Regulation (GDPR) law that affects any data holder that has data on European Union …

Machine learning has been pervasively used in a wide range of applications due to its
technical breakthroughs in recent years. It has demonstrated significant success in dealing …

Cloud-based Machine Learning as a Service (MLaaS) is gradually gaining acceptance as a
reliable solution to various real-life scenarios. These services typically utilize Deep Neural …

An adversarial machine learning approach is introduced to launch jamming attacks on
wireless communications and a defense strategy is presented. A cognitive transmitter uses a …

Machine learning (ML) provides effective means to learn from spectrum data and solve
complex tasks involved in wireless communications. Supported by recent advances in …

Existing communication systems exhibit inherent limitations in translating theory to practice
when handling the complexity of optimization for emerging wireless applications with high …

In the past few years, Convolutional Neural Networks (CNNs) have been achieving state-of-
the-art performance on a variety of problems. Many companies employ resources and …

Machine learning is being increasingly used by individuals, research institutions, and
corporations. This has resulted in the surge of Machine Learning-as-a-Service (MLaaS) …