Company Filing History:
Years Active: 2020
Title: Shagufta Mehnaz: Innovator in Privacy-Preserving Analytics
Introduction
Shagufta Mehnaz is a prominent inventor based in West Lafayette, IN (US). She has made significant contributions to the field of privacy-preserving analytics, holding a total of 3 patents. Her work focuses on enabling secure data analysis in multi-party environments, ensuring that individual data privacy is maintained.
Latest Patents
Shagufta's latest patents include innovative methods for performing privacy-preserving multi-party analytics on horizontally partitioned local data. One of her patents describes a process where a computing device computes a sum of local data owned by a party, which is horizontally partitioned into several data segments. This method involves computing a local gradient based on the data, initializing each segment, and anonymizing aggregated local gradients received from a mediator. The global analytic model is then learned based on the global gradient, allowing for privacy-preserving analytics.
Another notable patent focuses on computing a global sum that preserves the privacy of parties in a multi-party environment. This method involves dividing local data into segments, recursively encrypting each segment, and sharing the encrypted data with a mediator. The global sum is computed by the mediator while ensuring the privacy of all parties involved.
Career Highlights
Shagufta Mehnaz is currently employed at Hewlett Packard Enterprise Development LP, where she continues to advance her research in data privacy and analytics. Her work has garnered attention for its innovative approach to solving complex problems in data sharing and privacy.
Collaborations
Shagufta collaborates with Gowtham Bellala, who is also a key contributor in their field. Together, they work on projects that push the boundaries of privacy-preserving technologies.
Conclusion
Shagufta Mehnaz is a trailblazer in the realm of privacy-preserving analytics, with a focus on innovative solutions that protect individual data privacy in multi-party environments. Her contributions are shaping the future of secure data analysis.