Steve Penrod

Title: Steve Penrod: Innovator in Privacy-Preserving Training Approaches

Introduction

Steve Penrod is an accomplished inventor based in Kansas City, MO (US). He has made significant contributions to the field of privacy-preserving technologies, particularly in the realm of machine learning. His innovative work focuses on enhancing data security while enabling effective learning processes.

Latest Patents

Steve Penrod holds a patent for "Systems and methods for providing a privacy-preserving training approach in blind learning with secure enclaves." This patent describes a system and method that allows for a privacy-preserving training approach for split learning methods, including blind learning. The method involves receiving encrypted smashed data from a client device and utilizing a secure enclave on the server device to perform forward propagation and model updates while maintaining data privacy.

Career Highlights

Steve Penrod is currently employed at Tripleblind, Inc., where he continues to develop innovative solutions in the field of secure data processing. His work is instrumental in advancing the capabilities of machine learning while ensuring that user privacy is upheld.

Collaborations

Steve collaborates with talented individuals such as Gharib Gharibi and Babak Poorebrahim Gilkalaye. Their combined expertise contributes to the success of their projects and the advancement of privacy-preserving technologies.

Conclusion

Steve Penrod's contributions to the field of privacy-preserving training approaches highlight his commitment to innovation and data security. His work at Tripleblind, Inc. and his patent demonstrate his role as a leading inventor in this important area.