Boston, MA, United States of America

Pu Zhao

This inventor holds 1 USPTO granted patent. Top assignee: International Business Machines Corporation. Active years: 2023.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Pu Zhao. Retrieved from https://idiyas.com/inventor/pu-zhao-e9k1owkp

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile


% Patents Active = 100.0

Average Co-Inventor Count = 4.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2023

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1 patent (USPTO):Explore Patents

Title: The Innovations of Pu Zhao

Introduction

Pu Zhao is an accomplished inventor based in Boston, MA. He has made significant contributions to the field of machine learning, particularly in mitigating adversarial effects in machine learning systems. His work is vital in enhancing the reliability and security of machine learning models.

Latest Patents

Pu Zhao holds a patent titled "Mitigating adversarial effects in machine learning systems." This patent focuses on techniques for sanitization of machine learning (ML) models. The process involves receiving a first ML model along with clean training data. A path is then trained between the first ML model and a second ML model using the clean training data. A sanitized ML model is generated based on at least one point on the trained path. Subsequently, one or more ML functionalities are facilitated using the sanitized ML model. He has 1 patent to his name.

Career Highlights

Pu Zhao is currently employed at International Business Machines Corporation, commonly known as IBM. His role at IBM allows him to work on cutting-edge technologies and contribute to advancements in machine learning.

Collaborations

Throughout his career, Pu Zhao has collaborated with notable colleagues, including Pin-Yu Chen and Payel Das. These collaborations have further enriched his work and expanded the impact of his innovations.

Conclusion

Pu Zhao's contributions to machine learning through his innovative patent demonstrate his expertise and commitment to advancing technology. His work at IBM and collaborations with esteemed colleagues highlight his significant role in the field.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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