公开(公告)号：US20210141926A1

公开(公告)日：2021-05-13

申请号：US16790437

申请日：2020-02-13

Applicant: Facebook, Inc.

Inventor： Cristian Canton Ferrer ,  Brian Dolhansky ,  Hao Guo ,  Eric Erkon Hsin ,  Phong Dinh

IPC: G06F21/62 ,  G06K9/62 ,  G06K9/00 ,  G06N3/08 ,  G06N20/20

Abstract: In one embodiment, a method includes accessing a first machine-learning model trained to generate a feature representation of an input data, a second machine-learning model trained to generate a desired result based on the feature representation, and a third machine-learning model trained to generate an undesired result based on the feature representation, and training a fourth machine-learning model by generating a secured feature representation by processing a first output of the first machine-learning model using the fourth machine-learning model, generating a second output and a third output by processing the secured feature representation using, respectively, the second and third machine-learning models, and updating the fourth machine-learning model according to an optimization function configured to optimize a correctness of the second output and an incorrectness of the third output.