公开(公告)号：US11416775B2

公开(公告)日：2022-08-16

申请号：US16851221

申请日：2020-04-17

Applicant: International Business Machines Corporation

Inventor： Pin-yu Chen ,  Sijia Liu ,  Shiyu Chang ,  Payel Das ,  Minhao Cheng

IPC: G06N20/00 ,  G06F17/18

Abstract: Techniques for training robust machine learning models for adversarial input data. Training data for a machine learning (ML) model is received. The training data includes a plurality of labels for data elements. First modified training data is generated by modifying one or more of the plurality of labels in the training data using parameterized label smoothing with a first optimization parameter. The ML model is trained using the first modified training data. The training includes updating a first one or more model weights in the ML model, and generating a second optimization parameter suitable for use in future parameterized label smoothing for future training of the ML model