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 …

An evident challenge ahead for the integrated circuit (IC) industry is the investigation and
development of methods to reduce the design complexity ensuing from growing process …

Machine learning (ML) models can be trade secrets due to their development cost. Hence,
they need protection against malicious forms of reverse engineering (eg, in IP piracy). With a …

Information security is of vital importance in daily life, stimulating various cryptographic
strategies to protect data from leaking. Among them, metasurface-based optical encryption is …

The rapid development of Machine Learning (ML) has demonstrated superior performance
in many areas, such as computer vision and video and speech recognition. It has now been …

Industry 4.0 collects, exchanges, and analyzes data during the production process to
increase production efficiency. Internet of Things (IoT) devices are among the basic …

In recent years, neural networks have been applied to various applications. To speed up the
evaluation, a method using binarized network weights has been introduced, facilitating …

Emerging hardware security vulnerabilities are menacing since it is almost impossible to
amend the design after fabrication. Recent studies reported vulnerabilities, including side …

The field of microelectronics has experienced extensive integration into various aspects of
our everyday lives, evident via its utilization across a wide range of devices such as …

Recent developments in Artificial Intelligence (AI) and Machine Learning (ML), driven by a
substantial increase in the size of data in emerging computing systems, have led into …