Data analytics applied to nuclear power operations and nuclear safeguards is in a nascent
state, yet some significant initial efforts are being undertaken by industry and academia. This …

We propose PRISM to enable users of machine translation systems to preserve the privacy
of data on their own initiative. There is a growing demand to apply machine translation …

With the rapid development of cloud computing and machine learning, using outsourced
stored data and machine learning model for training and online‐aided disease diagnosis …

Support vector machine (SVM) is a widely used tool in classification problem. SVM solves a
quadratic optimization problem to decide which instances of training dataset are support …

Рассматривается задача построения систем защищенных криптографических
вычислений и её приложения. Анализируются достижения, сделанные …

Users are dissatisfied with services. Since the service is not tailor-made for a user, it is
natural for dissatisfaction to arise. The problem is, that even if users are dissatisfied, they …

Support vector machine (SVM) is an important technique for data classification. Traditional
SVM assumes free access to data. If the data are split and held by different users, for privacy …

Neural networks are a fundamental tool in data classification. A protocol whereby a user
may ask a service provider to run a neural network on an input provided in encrypted format …

Data mining algorithms tacitly quite access to the data either at centralized or distributed
form. Distributed data becomes a big challenge and cannot handle by a classical analytic …