Systems and methods for privacy-enabled biometric processing
SE Streit - US Patent 10,721,070, 2020 - Google Patents
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 …
then using a deep neural network (“DNN”) on those one-way homomorphic encryptions (ie …
Systems and methods for biometric processing with liveness
SE Streit - US Patent 11,210,375, 2021 - Google Patents
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 …
then using a deep neural network (“DNN”) on those one-way homomorphic encryp tions (ie …
Systems and methods for privacy-enabled biometric processing
SE Streit - US Patent 11,502,841, 2022 - Google Patents
(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 …
any biometric data and/or physical or logical user behavioral data, and then using an …
Systems and methods for privacy-enabled biometric processing
SE Streit - US Patent 11,138,333, 2021 - Google Patents
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 …
then using a deep neural network (“DNN”) on those one-way homomorphic encryptions (ie …
Biometric authentication
SE Streit - US Patent 11,170,084, 2021 - Google Patents
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 …
provided. In one example, a method includes receiving, passively by a computing device …
Systems and methods for privacy-enabled biometric processing
SE Streit - US Patent 11,392,802, 2022 - Google Patents
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 …
then using a deep neural network (“DNN”) on those one-way homomorphic encryptions (ie …
Systems and methods for privacy-enabled biometric processing
SE Streit - US Patent 11,394,552, 2022 - Google Patents
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 …
data and/or physical or logical user behavioral data, and then using an associated deep …
Systems and methods for private authentication with helper networks
SE Streit - US Patent 11,789,699, 2023 - Google Patents
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 …
physical or logical user behavioral data, and then using an associated deep neural network …
Systems and methods for private authentication with helper networks
SE Streit - US Patent 10,938,852, 2021 - Google Patents
Helper neural network can play a role in augmenting authen tication services that are based
on neural network architec tures. For example, helper networks are configured to oper ate as …
on neural network architec tures. For example, helper networks are configured to oper ate as …
Systems and methods for privacy-enabled biometric processing
SE Streit - US Patent 11,362,831, 2022 - Google Patents
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 …
then using a deep neural network (“DNN”) on those one-way homomorphic encryptions (ie …