Telangana, India

Chandan Chaitanya


Average Co-Inventor Count = 4.0

ph-index = 1


Company Filing History:


Years Active: 2025

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2 patents (USPTO):Explore Patents

Title: Innovations in Data Privacy by Chandan Chaitanya

Introduction

Chandan Chaitanya is an innovative inventor based in Telangana, India. He has made significant contributions to the field of data privacy through his unique patent. His work focuses on enhancing the security of personal data in databases, which is increasingly important in today's digital age.

Latest Patents

Chandan holds a patent for an invention titled "Automatic Quasi-Identifier Detection and Recommendations." This data privacy system automatically identifies quasi-identifiers in databases containing individuals' records. The system utilizes a machine learning model to classify each record and outputs a measure of confidence in its classification. Based on this confidence measure, the system determines the importance of each attribute for classification. It iteratively applies the machine learning model on a modified database that includes the highest-ranked attributes to identify quasi-identifiers. Furthermore, the system can assess if the database is vulnerable to membership inference attacks and can perform necessary data privacy operations to mitigate this risk.

Career Highlights

Chandan is currently employed at Protegrity US Holding, LLC, where he continues to develop innovative solutions for data privacy challenges. His expertise in machine learning and data security has positioned him as a valuable asset in his field.

Collaborations

Chandan collaborates with talented professionals such as André Castro and David Clyde Williamson, contributing to a dynamic work environment that fosters innovation and creativity.

Conclusion

Chandan Chaitanya's contributions to data privacy through his patent demonstrate his commitment to enhancing security in the digital landscape. His work is vital in protecting individuals' personal information and mitigating risks associated with data breaches.

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