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 …

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

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 …

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

Despite the recency of their conception, Generative Adversarial Networks (GANs) constitute
an extensively-researched machine learning sub-field for the creation of synthetic data …

Natural language processing (NLP) tasks, ranging from text classification to text generation,
have been revolutionised by the pre-trained language models, such as BERT. This allows …

Abstract Machine learning models are increasingly being deployed in practice. Machine
Learning as a Service (MLaaS) providers expose such models to queries by third-party …

Intrusion Detection Systems (IDSs) are an essential element of modern cyber defense,
alerting users to when and where cyber-attacks occur. Machine learning can enable IDSs to …

In a wide range of industries and academic fields, artificial intelligence is becoming
increasingly prevalent. AI models are taking on more crucial decision-making tasks as they …

Machine learning finds rich applications in Internet of Things (IoT) networks such as
information retrieval, traffic management, spectrum sensing, and signal authentication. While …