Provided are methods and systems for performing a secure analytic over a data source. An
example method includes acquiring, by a client, an analytic, at least one analytic parameter …

In one embodiment, a set of feature vectors can be derived from any biometric data, and
then using a deep neural network (“DNN”) on those one-way homomorphic encryp tions (ie …

A hardware implementations of Montgomery modular multiplication are described. The
number of components as well as the number of cycles may be reduced by using a lookup …

An example operation may include one or more of connect ing, by an identity server, to a
blockchain configured to store an identity trait of a user, retrieving, by an identity server, the …

Implementations of the present disclosure include receiving, from a first account, a digitally
signed copy of a commitment value of a first amount of a transaction amount generated …

Abstract Systems and methods that provide secure analytics using homomorphic and
injective format-preserving encryption and an encrypted analytics matrix are disclosed …

Systems and methods for end-to-end encryption and com pression are described herein. A
query is encrypted at a client using a homomorphic encryption scheme. The encrypted query …

(57) ABSTRACT A set of distance measurable encrypted feature vectors can be derived from
any biometric data and/or physical or logical user behavioral data, and then using an …

Provided are methods and systems for performing a secure probabilistic analytic using an
encrypted analytics matrix. An example method includes acquiring, by a client, an analytic …

Secure analytics using homomorphic and injective format preserving encryption are
disclosed herein. An example method includes encoding an analytic parameter set using a …