Wenqi Wei

Title: Innovations of Wenqi Wei in Adversarial Defense

Introduction

Wenqi Wei is an accomplished inventor based in Campbell, California. She has made significant contributions to the field of graph data structures, particularly in the area of adversarial attack detection. Her innovative work has led to the development of a unique patent that addresses critical challenges in data security.

Latest Patents

Wenqi Wei holds a patent titled "Fingerprint based graph adversarial defense." This patent introduces mechanisms for detecting adversarial attacks on graph data structures. A first graph fingerprint engine generates a first fingerprint data structure based on features extracted from a first graph data structure. A second graph fingerprint engine then generates a second graph fingerprint data structure from a second graph data structure. An adversarial attack detection engine compares these two fingerprint data structures to determine if they match. If they do not match, the detection engine indicates that the second data structure corresponds to an adversarial attack. This innovative approach enhances the security of graph data structures against potential threats.

Career Highlights

Wenqi Wei is currently employed at International Business Machines Corporation, commonly known as IBM. Her role at IBM allows her to work on cutting-edge technologies and contribute to advancements in data security and machine learning.

Collaborations

Wenqi has collaborated with notable colleagues, including Mu Qiao and Divyesh Jadav. These collaborations have fostered a productive environment for innovation and research in their respective fields.

Conclusion

Wenqi Wei's contributions to the field of graph adversarial defense exemplify her commitment to advancing technology and enhancing data security. Her innovative patent and collaborative efforts at IBM highlight her role as a leading inventor in this critical area.