Pasin Manurangsi

Title: Innovations by Pasin Manurangsi in Privacy-Preserving Algorithms

Introduction

Pasin Manurangsi is a notable inventor based in Mountain View, California. With a remarkable portfolio of four patents, he has made significant strides in the field of privacy-preserving data algorithms. His work is particularly impactful in addressing the challenges of aggregating private data while ensuring user confidentiality.

Latest Patents

Pasin's latest patents showcase his innovative contributions to the realm of privacy-preserving technologies. One of his notable inventions is titled "Pure differentially private algorithms for summation in the shuffled model." This patent details an encoding method that allows for the privacy-preserving aggregation of private data. The method includes steps for obtaining and encoding private values and producing a multiset for effective aggregation, leveraging probabilistic conditions to enhance data security through the use of noise messages.

Another significant patent is "Private counting from anonymous messages: near-optimal accuracy with vanishing communication overhead." This invention presents communication-efficient algorithms that reduce error in the aggregation of private data. Implemented within the shuffled differential privacy model, the algorithms enable precise summation and histogram operations while ensuring minimal communication requirements, thus balancing accuracy and privacy.

Career Highlights

Pasin Manurangsi currently works at Google Inc., where he continues to push the boundaries of privacy technologies. His expertise in developing innovative algorithms has positioned him as a leading figure in the tech industry, contributing to a safer digital environment for data processing.

Collaborations

Throughout his career at Google, Pasin has collaborated with esteemed colleagues including Badih Ghazi and Shanmugasundaram Ravikumar. These partnerships have fostered a dynamic exchange of ideas, resulting in pioneering solutions that advance the field of privacy-preserving data aggregation.

Conclusion

Pasin Manurangsi's contributions to the development of privacy-preserving algorithms signify an important leap forward in the field of data security. His innovative patents not only enhance the accuracy of private data aggregation but also pave the way for safer and more efficient data practices in the tech industry. As he continues to innovate at Google Inc., the impact of his work on privacy technology is likely to resonate across various sectors.