This inventor holds 1 USPTO granted patent and 1 EPO patent. Top assignee: Equifax Inc.. Active years: 2025.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2025
Title: Innovations of Ledao Chen in Data Tampering Prediction
Introduction
Ledao Chen is an accomplished inventor based in Roswell, GA (US). He has made significant contributions to the field of data security through his innovative patent. His work focuses on predicting data tampering using advanced machine learning models, which is crucial in today's digital landscape.
Latest Patents
Ledao Chen holds a patent for "Predicting data tampering using augmented machine learning models." This invention involves a sophisticated tampering prediction system that receives requests from target entities to modify event data related to historical events. The system generates a first score by applying a set of machine learning models to the request information and the target entity's data. It then computes a second score using a different machine learning model trained on labeled data, augmented with additional training from unlabeled data. The overall score is generated by combining these two scores, providing a robust mechanism for detecting potential tampering attempts.
Career Highlights
Ledao Chen is currently employed at Equifax Inc., where he applies his expertise in machine learning and data security. His innovative approach to predicting data tampering has positioned him as a valuable asset in the field. With a focus on enhancing data integrity, he continues to push the boundaries of technology.
Collaborations
Ledao has collaborated with notable colleagues, including Philip Munguia and Sriram Tirunellayi. Their combined efforts contribute to the advancement of data security technologies and the development of innovative solutions.
Conclusion
Ledao Chen's work in predicting data tampering through machine learning models represents a significant advancement in data security. His contributions are vital in safeguarding information integrity in an increasingly digital world.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
