Abstract Systems, methods, and computer-executable instructions for homomorphic data
analysis. Encrypted data is received, from a remote system, that has been encrypted with an …

A computer system receives a set of data encrypted by a homomorphic encryption
transformation. The computer system performs machine learning operations using the …

ML model (s) are created and trained using training data from user (s) to create
corresponding trained ML model (s). The training data is in FHE domains, each FHE domain …

Systems, methods, and computer-executable instructions for secure data analysis using
encrypted data. An encryption key and a decryption key are created. The security of …

BACKGROUND OF THE INVENTION a motor load, consumption power, a speed fluctuation
rate, 15 or the like) on each axis and information (characteristics of 1. Field of the Invention a …

Methods for secure random selection of t client devices from a set of N client devices and
methods for secure computation of inputs of t client devices randomly selected from N client …

Methods and systems according to embodiments of the invention provide for a framework for
privacy-preserving machine learning which can be used to obtain solutions for training …

A method of encryption and decryption of data over a network using an artificial neural
network installed on each node of the network. The data protection elements—encryption …

(57) ABSTRACT A secure machine learning system of a database system can be
implemented to use secure shared data to train a machine learning model. To manage the …

Increasing data volumes, widening varieties of data and more complex system requirements
tend to require machine learning techniques. It can therefore be necessary to produce …