Oracle International Corporation

Anna Morav

Kenny C Gross

Zhen Hua Liu

Guang Chao Wang

Dieter Gawlick

Kenneth P Baclawski

Edward R Wetherbee

Richard Paul Sonderegger

Systems, methods, and other embodiments associated with auditing the results of a machine learning model are described. In one embodiment, a method accesses original time series data and machine learning estimates of the original time series data. The method generates reconstituted time series data from the machine learning estimates by reversing operations of a machine learning model trained for generating the machine learning estimates from the original time series data. The method detects tampering (or corruption) in the original time series data based on a difference between the original time series data and reconstituted time series data. And, the method generates an electronic verification report that indicates whether the tampering (or corruption) is detected in the original time series data.

System and method for ensuring that the results of machine learning models can be audited

Growing community of inventors

East Palo Alto, CA, United States of America

Anna Morav