Abstract Adversarial Machine Learning (AML) discusses the act of attacking and defending
Machine Learning (ML) Models, an essential building block of Artificial Intelligence (AI). ML …

Recently, data-driven industrial monitoring systems have been rapidly developed and
significantly improved the performance on industrial monitoring tasks. However, the widely …

Classical computing works by processing bits, or 0s and 1s representing electrical signals of
on and off. Quantum computing employs a very different technique for information …

Recent advancements in technology, particularly in machine learning (ML), deep learning
(DL), and the metaverse, offer great potential for revolutionizing surgical science. The …

In recent days, most organizations have started to use cloud environments and various
cloud services. To secure and secure the operations that an organization performs in the …

Environmental unsustainability is one of the utmost pressing challenges facing the globe
today, necessitating the adoption of sustainable practices in our daily lives. In this regard …

Recently, there has been a growing interest in machine learning as a service (MLaaS). In
MLaaS, an operator provides pretrained neural networks, with which inferences on clients' …

Cloud computing (CC) provides network services on request, especially data storage and
processing capacity, without users' specific and direct management. CC recently became a …

With the continuous promotion and deepened application of Machine Learning-as-a-Service
(MLaaS) across various societal domains, its privacy problems occur frequently and receive …

In a time marked by an ever-increasing number of sensitive data and mounting worries
about breaches of privacy, the area of cryptography has emerged as the frontrunner in the …