The availability of large-scale authentic face databases has been crucial to the significant
advances made in face recognition research over the past decade. However, legal and …

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 …

In this paper, an integrated optical device is proposed in which a reflective meta-lens and
five switchable nano-antennas are combined to provide optical beam steering at the …

(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 …

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 …

Abstract Systems and methods of authorizing access to access-controlled environments are
provided. In one example, a method includes receiving, passively by a computing device …

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 …

This paper introduces a Hybrid Plasmonic Nano-Antenna (HPNA) with a gradient-index
dielectric flat lens modeled with different materials to enhance and steer the radiation in a …

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 associated deep …

A set of measurable encrypted feature vectors can be derived from any biometric data and/or
physical or logical user behavioral data, and then using an associated deep neural network …