Qing Zhang

Title: Qing Zhang - Innovator in Data Anonymization

Introduction

Qing Zhang is a notable inventor based in Torrance, CA, who has made significant contributions to the field of data anonymization. With a total of 2 patents to his name, Zhang's work focuses on methods and systems that enhance data privacy and security.

Latest Patents

Zhang's latest patents include a "Method and apparatus for providing anonymization of data." This invention discloses a method that receives a request for anonymizing data, which comprises a bipartite graph for a plurality of associations. The method places each node in the bipartite graph in a safe group and provides an anonymized graph if a safe group for all nodes is found. Another significant patent is titled "Systems and associated computer program products that disguise partitioned data structures using transformations having targeted distributions." This invention involves forming a data structure that includes partitions containing non-confidential quasi-identifier microdata and confidential microdata. The confidential microdata is transformed to conform to a target distribution, preserving its privacy while allowing for statistical analysis.

Career Highlights

Qing Zhang is currently employed at AT&T Intellectual Property I, LP, where he continues to innovate in the realm of data privacy. His work is crucial in addressing the growing concerns surrounding data security in today's digital landscape.

Collaborations

Zhang collaborates with talented individuals such as Divesh Srivastava and Ting Yu, who contribute to the advancement of their projects and research initiatives.

Conclusion

Qing Zhang's contributions to data anonymization through his innovative patents highlight his role as a key figure in enhancing data privacy. His work not only addresses current challenges but also paves the way for future advancements in the field.