Company Filing History:
Years Active: 2025
Title: Jianghong Shi: Innovator in High-Resolution Blackbox Patch Attack
Introduction
Jianghong Shi is a notable inventor based in Pittsburgh, PA (US). He has made significant contributions to the field of machine learning and optimization. His innovative work has led to the development of a unique patent that addresses complex challenges in high-resolution blackbox patch attacks.
Latest Patents
Jianghong Shi holds a patent titled "System and method for high-resolution blackbox patch attack with Bayesian optimization." This patent describes a sophisticated system that utilizes Bayesian optimization to generate and update patches in response to machine-learning model criteria. The system is designed to iteratively refine patches until they meet specified success criteria, showcasing a novel approach to enhancing machine learning applications.
Career Highlights
Jianghong Shi is currently employed at Robert Bosch GmbH, where he applies his expertise in optimization and machine learning. His work at the company reflects his commitment to advancing technology and improving system efficiencies. With a focus on innovative solutions, he continues to contribute to the field through his research and development efforts.
Collaborations
Jianghong has collaborated with talented individuals such as Devin T Willmott and Wan-Yi Lin. These partnerships highlight the collaborative nature of innovation and the importance of teamwork in achieving groundbreaking results.
Conclusion
Jianghong Shi's contributions to the field of machine learning and optimization are noteworthy. His patent demonstrates a significant advancement in high-resolution blackbox patch attacks, showcasing his innovative spirit and dedication to technology. Through his work at Robert Bosch GmbH and collaborations with esteemed colleagues, he continues to push the boundaries of what is possible in his field.