Yi-Hui Chen

Title: Yi-Hui Chen: Innovator in Data Privacy

Introduction

Yi-Hui Chen is a notable inventor based in Taipei, Taiwan. He has made significant contributions to the field of data privacy through his innovative methods and systems. His work focuses on preserving the privacy of datasets, which is increasingly important in today's data-driven world.

Latest Patents

Yi-Hui Chen holds a patent for a "Method and system for preserving privacy of a dataset." This patent outlines a method that determines a k-anonymity value concerning a sensitive data field based on at least one first quasi-identifier. The method ensures that data entries in each group share the same value in the fields of the first quasi-identifier, while entries in different groups have distinct values. The process involves merging groups based on a reference number, ensuring that the number of data entries in the merging group meets specific criteria. Additionally, certain fields of the first quasi-identifier are masked for the merging group, enhancing data privacy.

Career Highlights

Throughout his career, Yi-Hui Chen has worked with prominent organizations, including the Industrial Technology Research Institute and International Business Machines Corporation (IBM). His experience in these institutions has allowed him to develop and refine his innovative ideas in data privacy.

Collaborations

Yi-Hui Chen has collaborated with several talented individuals, including Ya-Ling Chen and Ci-Wei Lan. These collaborations have contributed to the advancement of his research and the successful development of his patented methods.

Conclusion

Yi-Hui Chen's work in preserving data privacy through innovative methods is a testament to his expertise and dedication to the field. His contributions are vital in addressing the challenges posed by data privacy in modern society.