The exponential increase in dependencies between the cyber and physical world leads to
an enormous amount of data which must be efficiently processed and stored. Therefore …

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 …

In recent days, machine learning (ML) systems have become integral to nearly all
mainstream applications. Understanding the underlying logic that contributes to the desired …

Abstract Machine learning lies at the core of many modern applications, extracting valuable
information from data acquired from numerous sources. It has produced a disruptive change …

Advances in machine learning (ML) in recent years have enabled a dizzying array of
applications such as data analytics, autonomous systems, and security diagnostics. ML 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 …

Following the recent surge in adoption of machine learning (ML), the negative impact that
improper use of ML can have on users and society is now also widely recognised. To …

At BIML, we are interested in “building security in” to machine learning (ML) systems from a
security engineering perspective. This means understanding how ML systems are designed …

Abstract While Machine Learning (ML) technologies are widely adopted in many mission
critical fields to support intelligent decision-making, concerns remain about system …

Machine learning based system are increasingly being used for sensitive tasks such as
security surveillance, guiding autonomous vehicle, taking investment decisions, detecting …