BEIJING, China

Yunfeng Lu

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignees: Beihang University, Beijing University of Technology. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Yunfeng Lu. Retrieved from https://idiyas.com/inventor/yunfeng-lu-3wcq9a7d

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

USPTO Granted Patents = 1 

Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Innovations of Yunfeng Lu in Deep Learning Security

Introduction

Yunfeng Lu 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 backdoor attacks. His work is crucial in enhancing the security measures within artificial intelligence systems.

Latest Patents

Yunfeng Lu holds a patent titled "Deep learning backdoor attack method and device based on ordinal network and medium." This invention discloses a method that utilizes an ordinal network to generate triggers for deep learning backdoor attacks. The approach improves the concealability of poisoning samples compared to other attack methods, thereby advancing research in hidden backdoor attack defense.

Career Highlights

Throughout his career, Yunfeng Lu has been associated with notable institutions such as Beihang University and Beijing University of Technology. His academic and research endeavors have positioned him as a key figure in the field of neural network security.

Collaborations

Yunfeng Lu has collaborated with esteemed colleagues, including Chao Li and Yanfang Liu. These partnerships have further enriched his research and contributions to the field.

Conclusion

Yunfeng Lu's innovative work in deep learning security highlights the importance of developing robust methods to combat potential threats in artificial intelligence. His contributions are paving the way for future advancements in this critical area of technology.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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