Christopher Côté Srinivasa

Title: Innovations by Christopher Côté Srinivasa

Introduction

Christopher Côté Srinivasa is an accomplished inventor based in Toronto, Canada. He has made significant contributions to the field of technology, particularly in the areas of biometric security and machine learning. With two patents to his name, he continues to push the boundaries of innovation.

Latest Patents

One of his latest patents is titled "Facial recognition tokenization." This invention describes an approach for increasing the security of biometric templates. The system is designed to split a full set of features or representations of a trained model into a first partial template and a second partial template. The second partial template is stored on a secure enclave, which is accessible only through zero-knowledge proof-based interfaces. During verification, a new full set of features is received for comparison, and a model is loaded based on the available portions of the model. The comparison utilizing the second partial template requires the computation of zero-knowledge proofs, as direct access to the underlying second partial template is prohibited by the secure enclave.

Another notable patent is for a "System and method for adversarial vulnerability testing of machine learning models." This invention proposes a system that receives a representation of a non-differentiable machine learning model as input. It transforms the input model into a smoothed model and conducts an adversarial search against the smoothed model to generate an output data value representative of a potential vulnerability to adversarial examples. The patent also includes variant embodiments directed to noise injection, hyperparameter control, and exhaustive or sampling-based searches to balance computational efficiency and accuracy in practical implementation. Flagged vulnerabilities can lead to models being re-validated, re-trained, or removed from use due to an increased cybersecurity risk profile.

Career Highlights

Christopher currently works at the Royal Bank of Canada, where he applies his expertise in technology and innovation. His work focuses on enhancing security measures and improving machine learning models, contributing to the bank's commitment to cybersecurity and technological advancement.

Collaborations

He collaborates with talented individuals such as Sayedmasoud Hashemi Amroabadi and Margaret Inez Salter, who share his passion for innovation and technology.

Conclusion

Christopher Côté Srinivasa is a notable inventor whose work in biometric security and machine learning continues to impact the technology landscape. His patents reflect a commitment to enhancing security and addressing vulnerabilities in modern systems.