Bengaluru, India

Karibik Sankaranarayanan

This inventor holds 1 USPTO granted patent. Top assignee: International Business Machines Corporation. Active years: 2021.


Average Co-Inventor Count = 3.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2021

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1 patent (USPTO):Explore Patents

Title: The Innovative Mind of Karibik Sankaranarayanan

Introduction

Karibik Sankaranarayanan is a notable inventor based in Bengaluru, India. He has made significant contributions to the field of machine learning, particularly in the area of model identification. His work is characterized by a focus on enhancing the security and integrity of machine learning models.

Latest Patents

Karibik holds a patent for a method titled "Stolen machine learning model identification." This innovative approach involves assigning a machine learning model signature to a model, which is generated using data points and corresponding data labels from training data. The method includes receiving input that identifies a target machine learning model, acquiring a target signature for that model, and determining a stolen score by comparing the target signature to the original model signature. The classification of the target model as stolen is based on whether the stolen score reaches a predetermined threshold. This patent highlights his commitment to advancing the field of machine learning.

Career Highlights

Karibik 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 innovative projects that shape the future of machine learning and artificial intelligence.

Collaborations

Throughout his career, Karibik has collaborated with talented individuals such as Sameep Mehta and Rakesh Rameshrao Pimplikar. These collaborations have fostered a creative environment that encourages the exchange of ideas and the development of groundbreaking technologies.

Conclusion

Karibik Sankaranarayanan is a distinguished inventor whose work in machine learning is paving the way for advancements in model security. His patent on stolen machine learning model identification exemplifies his innovative spirit and dedication to the field. Through his contributions at IBM and collaborations with fellow professionals, he continues to make a significant impact in the world of technology.

Profile summary based on public USPTO records.
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