This inventor holds 1 USPTO granted patent. Top assignees: Beihang University, Beijing University of Technology. Active years: 2026.
Company Filing History:
1 out of 289 
1 out of 389 
Years Active: 2026
Title: Guoyan Chen: Innovator in Deep Learning Security
Introduction
Guoyan Chen is a prominent inventor based in Beijing, China. He has made significant contributions to the field of neural network security, particularly through his innovative patent related to deep learning.
Latest Patents
Guoyan Chen holds a patent for a "Deep learning backdoor attack method and device based on ordinal network and medium." This invention discloses a method that enhances the concealability of poisoning samples compared to those generated by other attack methods. The method involves obtaining a training sample image, generating an ordinal network to represent the exact structure of the image, and creating a trigger using the ordinal network. This advancement promotes further research into hidden backdoor attack defense methods within the academic community.
Career Highlights
Throughout his career, Guoyan Chen has worked at notable institutions such as Beihang University and Beijing University of Technology. His work has focused on advancing the understanding and security of neural networks.
Collaborations
Guoyan Chen has collaborated with esteemed colleagues, including Yunfeng Lu and Chao Li, contributing to the development of innovative solutions in his field.
Conclusion
Guoyan Chen's work in deep learning security exemplifies the importance of innovation in technology. His contributions are paving the way for advancements in neural network safety and security.