Hangzhou, China

Tianchen Zhang

This inventor holds 1 USPTO granted patent. Top assignee: Zhejiang University. Active years: 2022.


% Patents Active = 100.0

Average Co-Inventor Count = 6.0

ph-index = 1


Company Filing History:


Years Active: 2022

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1 patent (USPTO):Explore Patents

Title: Innovations of Tianchen Zhang in Voice Assistant Security

Introduction

Tianchen Zhang is an innovative inventor based in Hangzhou, China. He has made significant contributions to the field of voice assistant technology, particularly in enhancing security measures against inaudible attacks. His work focuses on utilizing machine learning to protect voice-activated devices from unauthorized control.

Latest Patents

Tianchen Zhang holds a patent for a method of defending against inaudible attacks on voice assistants based on machine learning. The patent outlines a comprehensive approach that includes several steps: collecting data of positive and negative samples, performing data segmentation, selecting and normalizing sample features, training a classifier to generate a detection model for malicious voice commands, and finally detecting voice commands using the developed model. This innovative method addresses the critical issue of ensuring that voice assistants can differentiate between legitimate and malicious commands, thereby enhancing their security.

Career Highlights

Tianchen Zhang is affiliated with Zhejiang University, where he continues to advance research in voice technology and machine learning. His work has garnered attention for its practical applications in everyday technology, making voice assistants safer for users.

Collaborations

Tianchen collaborates with notable colleagues, including Guoming Zhang and Xiaoyu Ji, who contribute to his research efforts and innovations in the field.

Conclusion

Tianchen Zhang's contributions to voice assistant security through his innovative patent demonstrate the importance of safeguarding technology against emerging threats. His work not only enhances user safety but also sets a precedent for future advancements in the field.

Profile summary based on public USPTO records.
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