Yifan Yan

Title: Yifan Yan - Innovator in Machine Learning Security

Introduction

Yifan Yan is a prominent inventor based in Shanghai, China. He has made significant contributions to the field of machine learning, particularly in developing systems that enhance the security of machine learning models against adversarial attacks. His innovative approach addresses critical challenges in data imbalance and sophisticated fraud attempts.

Latest Patents

Yifan Yan holds 1 patent for his work titled "Systems and methods for machine learning using adversarial learning and data transformation." This patent discloses a machine learning hardening system and method designed to protect machine learning models from adversarial attacks. The method involves preprocessing data for logistic regression and augmenting datasets with synthetic fraudulent transactions generated by a Negative-Calibrated Generative Adversarial Network (NCGAN) to ensure balance. Additionally, adversarial behavior is modeled to simulate fraudster responses to detection models, employing a Stackelberg game framework. A logistic regression model is trained using a sum of top-K loss function to focus on transactions with the greatest loss, thereby enhancing the detection of fraudulent activity.

Career Highlights

Yifan Yan is currently employed at HSBC Software Development (Guandong) Limited, where he continues to innovate in the field of machine learning. His work is pivotal in developing solutions that address the growing concerns of security in machine learning applications.

Collaborations

Yifan collaborates with talented individuals such as Bing Zhu and Ziyuan Li, who contribute to his projects and research endeavors.

Conclusion

Yifan Yan's contributions to machine learning security are noteworthy, and his innovative patent reflects his commitment to addressing critical challenges in the field. His work not only enhances the robustness of machine learning models but also sets a precedent for future innovations in this area.