Rina Okada

Title: Rina Okada: Innovator in Risk Evaluation and Synthetic Data Generation

Introduction

Rina Okada is a prominent inventor based in Musashino, Japan. She has made significant contributions to the fields of risk evaluation and synthetic data generation. With a total of 5 patents to her name, her work is at the forefront of technological advancements in machine learning and data processing.

Latest Patents

Rina Okada's latest patents include a risk evaluation apparatus, a risk evaluation method, and a non-transitory computer-readable recording medium. The risk evaluation apparatus is designed to evaluate the risk of a machine learning model. It comprises several components, including a recording unit, a loss function regression model acquirer, an attack noise addition unit, an error acquisition unit, and an evaluation unit. The recording unit captures a set of predetermined loss functions and pairs of data and labels. The loss function regression model acquirer determines a regression model of the loss function near the data through nonparametric regression. The attack noise addition unit generates attack data, known as Adversarial Examples, using the regression model. The error acquisition unit calculates the error between the outputs of the machine learning model when inputting both the original and attack data. Finally, the evaluation unit assesses the risk based on the set of errors.

Another notable patent is the synthetic data generation apparatus, which encodes category attributes from original data into numerical attributes according to a coding rule. This apparatus generates first synthetic data from the original data after coding. If the numerical attribute value in the first synthetic data exceeds the assumed range, it converts the value to one within the acceptable range. The apparatus then decodes the numerical attribute back to the category attribute value according to the coding rule to produce synthetic data.

Career Highlights

Rina Okada is currently employed at Nippon Telegraph and Telephone Corporation, where she continues to innovate and develop new technologies. Her work has garnered attention for its practical applications in enhancing machine learning models and data generation processes.

Collaborations

Rina collaborates with her coworker, Shogo Masaki, contributing to various projects that push the boundaries of technology and innovation.

Conclusion

Rina Okada's contributions to risk evaluation and synthetic data generation highlight her role as a leading inventor in her field. Her innovative patents reflect her commitment to advancing technology and improving machine learning applications.