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 …

Deep learning has gained tremendous success and great popularity in the past few years.
However, deep learning systems are suffering several inherent weaknesses, which can …

Machine learning is one of the most prevailing techniques in computer science, and it has
been widely applied in image processing, natural language processing, pattern recognition …

Deep learning frameworks promote the development of artificial intelligence and
demonstrate considerable potential in numerous applications. However, the security issues …

As machine learning becomes more widely used, the need to study its implications in
security and privacy becomes more urgent. Although the body of work in privacy has been …

In recent years, machine learning (ML) has become an important part to yield security and
privacy in various applications. ML is used to address serious issues such as real-time …

In recent past years, Deep Learning presented an excellent performance in different areas
like image recognition, pattern matching, and even in cybersecurity. The Deep Learning has …

The cyber physical systems integrate the sensing, computation, control and networking
processes into physical objects and infrastructure, which are connected through the Internet …

With the advances in machine learning (ML) and deep learning (DL) techniques, and the
potency of cloud computing in offering services efficiently and cost-effectively, Machine …

To promote secure and private artificial intelligence (SPAI), we review studies on the model
security and data privacy of DNNs. Model security allows system to behave as intended …