Embodiments described herein are directed to methods and systems for performing neural
network computations on encrypted data. Encrypted data is received from a user. The …

Outsourcing an image classification task raises privacy concerns, both from the image
provider's perspective, who wishes to keep their images confidential, and from the …

Support vector machine (SVM) is one of the most popular machine learning algorithms. It
predicts a pre-defined output variable in real-world applications. Machine learning on …

Secure multi-party computation (SMC) allows parties to jointly compute a function over their
inputs, while keeping every input confidential. It has been extensively applied in tasks with …

Abstract k Nearest neighbor (kNN) classification algorithm is a prediction model which is
widely used for real‐life applications, such as healthcare, finance, computer vision …

In image processing, algorithms for object classification are typically based around machine
learning. From the algorithm developer's perspective, these can involve a considerable …

Kernel methods are popular machine learning methods that provide automated pattern
analysis of raw datasets. Of particular interest is Support Vector Machines that are used to …

Computational Intelligence (CI) techniques are expected to provide powerful tools for
addressing Big Data challenges. The main techniques in CI, such as evolutionary …

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 …

Preserving the privacy and security of big data in the context of cloud computing, while
maintaining a certain level of efficiency of its processing remains to be a subject, open for …