Charlottesville, VA, United States of America

Anshuman Suri

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Oracle International Corporation. Active years: 2024.

USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 4.0

ph-index = 1


Company Filing History:


Years Active: 2024

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1 patent (USPTO):Explore Patents

Title: Anshuman Suri: Innovator in Federated Learning Privacy

Introduction

Anshuman Suri is a notable inventor based in Charlottesville, VA, specializing in the field of federated learning. He has made significant contributions to the understanding of privacy attacks in machine learning models. His work focuses on enhancing data security and privacy in distributed learning environments.

Latest Patents

Anshuman Suri holds a patent titled "Subject Level Privacy Attack Analysis for Federated Learning." This patent addresses the analysis of inference attacks to determine the presence of a subject's data in a training set of a federated machine learning model. The process involves receiving a request to select an analysis of one or more inference attacks, which are then performed to assess the presence of the subject's data. Success measurements for these attacks are generated based on their performance, providing valuable insights into data privacy.

Career Highlights

Anshuman Suri is currently employed at Oracle International Corporation, where he applies his expertise in machine learning and data privacy. His innovative approach to federated learning has positioned him as a key player in the field, contributing to advancements in secure data handling.

Collaborations

Anshuman has collaborated with talented professionals such as Pallika Haridas Kanani and Virendra J Marathe. These collaborations have fostered a productive environment for innovation and research in the realm of machine learning.

Conclusion

Anshuman Suri's work in federated learning and privacy attack analysis represents a significant advancement in the field of data security. His contributions are essential for the ongoing development of secure machine learning practices.

Profile summary based on public USPTO records.
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