Nishant Kumar

Title: Innovations of Nishant Kumar in Deep Neural Networks

Introduction

Nishant Kumar is an innovative inventor based in Ranchi, India. He has made significant contributions to the field of machine learning, particularly in the area of secure inference in deep neural networks. His work focuses on enhancing privacy and security in artificial intelligence applications.

Latest Patents

Nishant Kumar holds a patent for "Private inference in deep neural network." This invention provides a secure inference method over Deep Neural Networks (DNNs) using secure two-party computation. It enables privacy-preserving machine learning by employing a specific type of comparison that can be utilized as a building block for various layers in the DNN, including ReLU activations and divisions. The secure inference computes a Boolean share of a bit that indicates whether input value x is less than input value y, where x is held by a user and y is held by a provider of the DNN. This method is more efficient than traditional approaches, as it parses inputs into leaf strings of multiple bits, making it better suited for complex DNNs.

Career Highlights

Nishant Kumar is currently associated with Microsoft Technology Licensing, LLC, where he continues to develop innovative solutions in the field of machine learning. His expertise in secure computation and deep learning has positioned him as a valuable asset in the tech industry.

Collaborations

Nishant has collaborated with talented individuals such as Nishanth Chandran and Divya Gupta, contributing to a dynamic work environment that fosters innovation and creativity.

Conclusion

Nishant Kumar's contributions to secure inference in deep neural networks exemplify the intersection of technology and privacy. His work not only advances machine learning but also addresses critical security concerns in the digital age.