US 12,033,049 B2
Semantics preservation for machine learning models deployed as dependent on other machine learning models
Edouard Godfrey, Sunnyvale, CA (US); Gianpaolo Fasoli, Redwood City, CA (US); and Kuangyu Wang, Cupertino, CA (US)
Assigned to Apple Inc., Cupertino, CA (US)
Filed by Apple Inc., Cupertino, CA (US)
Filed on Jul. 31, 2023, as Appl. No. 18/228,645.
Application 18/228,645 is a continuation of application No. 16/805,625, filed on Feb. 28, 2020, granted, now 11,715,043.
Claims priority of provisional application 62/812,888, filed on Mar. 1, 2019.
Prior Publication US 2023/0385709 A1, Nov. 30, 2023
Int. Cl. G06F 18/2415 (2023.01); G06N 20/00 (2019.01); G06N 20/20 (2019.01)
CPC G06N 20/20 (2019.01) [G06N 20/00 (2019.01)] 20 Claims
OG exemplary drawing
 
15. A device comprising:
a memory; and
at least one processor configured to:
receive an assessment value from a source electronic device, the assessment value corresponding to a transaction being conducted by the source electronic device;
determining, by a machine learning model deployed on the device, a classification based on the assessment value based on a set of constraints, the set of constraints being utilized to at least define a probability that the assessment value corresponds to a particular classification, and the classification indicating a likelihood that the transaction being conducted by the source electronic device is fraudulent; and
preventing or allowing the transaction being conducted by the source electronic device based at least in part on the classification of the assessment value.