公开(公告)号：US10902349B2

公开(公告)日：2021-01-26

申请号：US15629082

申请日：2017-06-21

Applicant: SRI International

Inventor： Shalini Ghosh ,  Patrick D. Lincoln ,  Bhaskar S. Ramamurthy

IPC: G06N20/00 ,  G06F11/30 ,  G06N7/00 ,  G06F40/40

Abstract: Methods and systems of using machine learning to create a trusted model that improves the operation of a computer system controller are provided herein. In some embodiments, a machine learning method includes training a model using input data, extracting the model, and determining whether the model satisfies the trust-related constraints. If the model does not satisfy the trust-related constraint, modifying at least one of: the model using one or more model repair algorithms, the input data using one or more data repair algorithms, or a reward function of the model using one or more reward repair algorithms, and re-training the model using at least one of the modified model, the modified input data, or the modified reward function. If the model satisfies the trust-related constraints, providing the model as a trusted model that enables a computer system controller to perform system actions within predetermined guarantees.

公开(公告)号：US20170364831A1

公开(公告)日：2017-12-21

申请号：US15629082

申请日：2017-06-21

Applicant: SRI International

Inventor： Shalini Ghosh ,  Patrick D. Lincoln ,  Bhaskar S. Ramamurthy

IPC: G06N99/00 ,  G06F17/28

Abstract: Methods and systems of using machine learning to create a trusted model that improves the operation of a computer system controller are provided herein. In some embodiments, a machine learning method includes training a model using input data, extracting the model, and determining whether the model satisfies the trust-related constraints. If the model does not satisfy the trust-related constraint, modifying at least one of: the model using one or more model repair algorithms, the input data using one or more data repair algorithms, or a reward function of the model using one or more reward repair algorithms, and re-training the model using at least one of the modified model, the modified input data, or the modified reward function. If the model satisfies the trust-related constraints, providing the model as a trusted model that enables a computer system controller to perform system actions within predetermined guarantees.