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 …

Cyber–physical systems (CPSs) are new types of intelligent systems that integrate
computing, control, and communication technologies, bridging the cyberspace and physical …

Obtaining a well-trained model involves expensive data collection and training procedures,
therefore the model is a valuable intellectual property. Recent studies revealed that …

The paper deals with the problem of adversarial attacks on machine learning systems. Such
attacks are understood as special actions on the elements of the machine learning pipeline …

Recent studies show that machine learning models are vulnerable to model extraction
attacks, where the adversary builds a substitute model that achieves almost the same …

Since the emergence of coronavirus disease–2019 (COVID-19) outbreak, every country has
implemented digital solutions in the form of mobile applications, web-based frameworks …

Natural hazards, such as flooding, have been negatively impacting developed and
emerging economies alike. The effects of floods are more prominent in countries of the …

Abstract Machine learning models, especially deep neural network (DNN) models, have
widespread and valuable applications in business activities. Training a deep learning model …

Abstract In recent years, Deep Neural Networks (DNN) have emerged as a practical method
for image recognition. The raw data, which contain sensitive information, are generally …

In secure machine learning inference, most of the schemes assume that the server is semi-
honest (honestly following the protocol but attempting to infer additional information) …