The Right to be Forgotten is part of the recently enacted General Data Protection Regulation (GDPR) law that affects any data holder has on European Union residents. It gives EU residents ability request deletion their personal data, including training records used train machine learning models. Unfortunately, Deep Neural Network models are vulnerable information leaking attacks such as model i...

We conduct an empirical study of machine learning functionalities provided by major cloud service providers, which we call machine learning clouds. Machine learning clouds hold the promise of hiding all the sophistication of running large-scale machine learning: Instead of specifying how to run a machine learning task, users only specify what machine learning task to run and the cloud figures o...

Signal processing including analysis, understanding, detection, estimation, and modelling of the events and trends, the way they evolve, and the abnormalities and anomalies affecting them have attracted many researchers around the globe. Signal processing theory originates from mathematical foundation with astonishing applications which help information technologists discover and invent new rea...

In this paper, we propose a kind of mobile learning paradigm learning by seamless migration, which has the capability that task for learning dynamically follows the learner from place to place and machine to machine without learner awareness or intervention. Our key idea is this capability can be achieved by architecture of component platform and agent-based migrating mechanism. In order to stu...

In this paper, I will introduce to the APSIPA audience an emerging area of machine learning, deep-structured learning. It refers to a class of machine learning techniques, developed mostly since 2006, where many layers of information processing stages in hierarchical architectures are exploited for pattern classification and for unsupervised feature learning. First, the brief history of deep le...

Medical image analysis is the science of analyzing or solving medical problems using different image analysis techniques for affective and efficient extraction of information. It has emerged as one of the top research area in the field of engineering and medicine. Recent years have witnessed rapid use of machine learning algorithms in medical image analysis. These machine learning techniques ar...