US 12,335,400 B2
Systems and methods for privacy-enabled biometric processing
Scott Edward Streit, Woodbine, MD (US)
Assigned to Private Identity LLC, Potomac, MD (US)
Filed by Private Identity LLC, Potomac, MD (US)
Filed on Nov. 10, 2022, as Appl. No. 17/984,719.
Application 17/984,719 is a continuation of application No. 16/573,851, filed on Sep. 17, 2019, granted, now 11,502,841.
Application 16/573,851 is a continuation in part of application No. 16/539,824, filed on Aug. 13, 2019, granted, now 11,265,168.
Application 16/539,824 is a continuation in part of application No. 16/218,139, filed on Dec. 12, 2018, granted, now 11,210,375.
Application 16/573,851 is a continuation in part of application No. 16/022,101, filed on Jun. 28, 2018, granted, now 11,170,084.
Application 16/539,824 is a continuation in part of application No. 15/914,562, filed on Mar. 7, 2018, granted, now 11,392,802.
Application 16/218,139 is a continuation in part of application No. 15/914,562, filed on Mar. 7, 2018, granted, now 11,392,802.
Application 16/573,851 is a continuation in part of application No. 15/914,436, filed on Mar. 7, 2018, granted, now 10,419,221.
Application 16/218,139 is a continuation in part of application No. 15/914,942, filed on Mar. 7, 2018, granted, now 10,721,070.
Application 16/539,824 is a continuation in part of application No. 15/914,436, filed on Mar. 7, 2018, granted, now 10,419,221.
Application 16/539,824 is a continuation in part of application No. 15/914,969, filed on Mar. 7, 2018, granted, now 11,138,333.
Application 16/218,139 is a continuation in part of application No. 15/914,969, filed on Mar. 7, 2018, granted, now 11,138,333.
Application 16/539,824 is a continuation in part of application No. 15/914,942, filed on Mar. 7, 2018, granted, now 10,721,070.
Prior Publication US 2023/0283476 A1, Sep. 7, 2023
This patent is subject to a terminal disclaimer.
Int. Cl. H04L 9/32 (2006.01); G06F 21/32 (2013.01); G06N 3/045 (2023.01); G06N 3/08 (2023.01)
CPC H04L 9/3231 (2013.01) [G06F 21/32 (2013.01); G06N 3/045 (2023.01); G06N 3/08 (2013.01); G06F 2221/2133 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A privacy-enabled authentication system comprising:
at least one processor operatively connected to a memory, the at least one processor configured to:
execute selection from a first machine learning (“ML”) process and a second ML process responsive to an authentication mode;
wherein the first ML process when executed by the at least one processor is configured to:
classify distance measurable encrypted feature vector inputs as part of identification or authentication using one or more first classification neural networks trained to predict matches to a plurality of identification classes for a respective distance measurable encrypted feature vector input;
wherein the second ML process when executed by the at least one processor is configured to:
accept plain text biometric or behavioral data as input to one or more generation neural networks and output respective distance measurable encrypted feature vectors;
generate an identification match based on comparing distances between distance measurable encrypted feature vectors; and
validate that identification results produced by the selected first and second ML processes are based on live submission from a live user, the validation including operations to determine liveness in multiple dimensions including at least a liveness evaluation of identification or authentication inputs of a matching type submitted to the selected first and second ML process during the identification or authentication as part of the evaluation of the multiple dimensions.