Patent ID: 11934932
Assignee: XILINX, INC.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 8:
9. A method, comprising:
training a first ML model using first training data;
evaluating the first ML model while injecting a first hardware fault in a first hardware system executing the first ML model;
generating an error characterization matrix indicating identification accuracy of the first ML model in identifying a plurality of classifications in the first training data when the first hardware fault is present;
adjusting second training data using the error characterization matrix by emphasizing a first set of classifications of the plurality of classifications that the first ML model misclassified when the first hardware fault was present and deemphasizing a second set of classifications of the plurality of classifications that the first ML model correctly classified when the first hardware fault was present; and
training a second ML model using the adjusted, second training data.