Yuan Tian

Title: Yuan Tian and His Work on Malicious-Code Detection.

Introduction

Yuan Tian is an inventor associated with Kingston, California, and Blackberry Corporation. His patent work focuses on using machine learning to identify malicious code.

Latest Patents

Tian is associated with one patent, 1 patent, titled “Method and Apparatus for Clone Search.” The invention compares a new code segment with known malicious-code segments by converting code into vectors and measuring their cosine similarity to identify clones. It also describes neural-network training techniques designed to handle very long code sequences and obfuscated malicious code.

Career Highlights

Tian’s patent reflects an application of machine learning to cybersecurity, particularly the detection of code that resembles known malicious software. The disclosed approach combines vector representations, similarity analysis, and neural-network techniques.

Collaborations

Tian’s listed coworkers include Zhizhou Song and Honghui Ding. His company affiliation is Blackberry Corporation.

Conclusion

Yuan Tian’s patent describes a machine-learning approach to finding malicious-code clones, with techniques intended to address long and obfuscated code.