Patent ID: 11868337
Assignee: WALMART APOLLO, LLC
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 13:
14. A non-transitory computer readable medium having instructions stored thereon, wherein the instructions, when executed by at least one processor, cause a device to perform operations comprising:
obtaining training data;
dividing the training data into a trusted dataset and an untrusted dataset, wherein the trusted dataset is selected using stratified sampling;
generating a first classification model based on the remaining dataset;
generating an updated untrusted dataset by simulating exposure of the untrusted dataset to an adversarial process;
generating a second classification model based on the updated untrusted dataset;
updating labels in the untrusted dataset to generate updated untrusted dataset based at least in part on trusted labels in the trusted dataset and injecting noise in the untrusted dataset, wherein the updating is based on an estimated reverse transformation function for the first classification model and the second classification model;
generating updated training data by combining the trusted dataset and updated untrusted dataset; and
training a machine learning model based on the updated training data by:
for each data sample of the untrusted dataset, determining a probability of the corresponding observed label being a true label; and
determining, for each data sample of the untrusted dataset, whether the corresponding observed label is a true label based on the probability, wherein determining whether the corresponding observed label is the true label is based on a confidence of having correctly determined the probability.