This inventor holds 1 USPTO granted patent. Top assignee: Apple Inc.. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: Andrew M. Bennett and Privacy-Protected Database Querying
Introduction
Andrew M. Bennett is an inventor associated with North Hollywood, California, and Apple Inc. His patent work addresses privacy-conscious ways to provide useful information from databases containing records about individuals.
Latest Patents
Bennett is credited with 1 patent, titled “Privacy Protected Database Querying.” The invention describes systems, methods, and devices for processing a request about a set of entities in an entity data database. A querying strategy is selected based on the request’s format and search conditions. The system identifies records that meet a condition, compares their count with a threshold, and assigns the set to a numerical bucket. Depending on that bucket, the count is adjusted before an aggregated value is shared with the requesting system. This approach is designed to support database queries while protecting the privacy of the underlying records.
Career Highlights
Bennett’s listed patent reflects work on privacy-aware data processing and controlled disclosure of aggregated information. He is associated with Apple Inc., where the patent’s database-querying concepts align with broader technical challenges in handling sensitive data.
Collaborations
The provided information names Deima Elnatour and Elli Shapiro as Bennett’s coworkers. Their inclusion indicates professional connections, though no specific roles in the patent or collaboration details were provided.
Conclusion
Andrew M. Bennett’s patent on privacy-protected database querying presents a method for returning aggregated results while limiting exposure of individual records.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
