Company Filing History:
Years Active: 2022-2024
Title: Tadanori Teruya: Innovator in Secure Authentication and Prediction Model Sharing
Introduction
Tadanori Teruya is a prominent inventor based in Tokyo, Japan. He has made significant contributions to the fields of secure authentication and prediction model sharing. With a total of two patents to his name, Teruya's work is recognized for its innovative approaches to enhancing security and data sharing.
Latest Patents
Tadanori Teruya's latest patents include a secure authentication method and a secure authentication system. The secure authentication method involves deriving a distributed LSH value using secret LSH, taking a first distributed feature amount of user information, and utilizing encrypted LSH parameters as inputs. It further includes deriving a distributed hash value using a secret unidirectional function, decoding the hash value, and selecting a matching set from a secret hash table. The method computes similarity in secret and derives a user authentication result based on this similarity. His second patent, the prediction model sharing method, provides a way to obtain a shared prediction model by converting negative numerical values in a neural network's parameters to positive values and sharing the converted model through a secret sharing method.
Career Highlights
Tadanori Teruya is currently associated with Panasonic Intellectual Property Corporation of America. His work at Panasonic has allowed him to focus on developing cutting-edge technologies that address contemporary challenges in data security and model sharing.
Collaborations
Throughout his career, Teruya has collaborated with notable colleagues, including Naohisa Nishida and Tatsumi Oba. These collaborations have contributed to the advancement of his innovative projects and patents.
Conclusion
Tadanori Teruya stands out as an influential inventor in the realm of secure authentication and prediction model sharing. His patents reflect a commitment to enhancing security measures and facilitating data sharing in innovative ways.