A secure linkage between databases allows records of an individual in a first database to be
linked to records of the same individual in a second database without disclosing or providing …

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 …

The techniques and/or systems described herein are directed to improvements in
homomorphic operations within a homomorphic encryption scheme. The homomorphic …

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 …

The techniques and/or systems described herein are directed to improvements in
homomorphic encryption to improve processing speed and storage requirements. For …

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

Leonid Kisselev (57) ABSTRACT Computational overhead for private multiparty data
function computation can be decreased by sharing parameters of dimensionality-reducing …

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 encryptions (ie …