This inventor holds 1 USPTO granted patent. Top assignee: Massachusetts Institute of Technology. Active years: 2026.
Company Filing History:
Years Active: 2026
Title: The Innovative Mind of Jeffrey Schiller
Introduction
Jeffrey Schiller is a notable inventor based in Arlington, MA (US). He has made significant contributions to the field of multi-party computation systems. His work focuses on enhancing data security and privacy through innovative computational methods.
Latest Patents
One of Schiller's key patents is a Multi-party computation system. This invention relates to a system that performs multi-party computations among multiple parties. The system receives encrypted data sets generated by devices associated with these parties. Each encrypted data set is created by encrypting data using a key shared among the devices. The system performs computations on an aggregate of these encrypted data sets to obtain an encrypted result. It then transmits this encrypted result to at least two devices. The system also receives partially decrypted shares of the encrypted result from these devices, which are generated by partially decrypting the encrypted result using private keys. Ultimately, the system generates a decrypted result of the computation using these partially decrypted shares.
Career Highlights
Jeffrey Schiller is affiliated with the Massachusetts Institute of Technology, where he continues to push the boundaries of innovation. His work has garnered attention for its potential applications in secure data processing and privacy-preserving computations.
Collaborations
Throughout his career, Schiller has collaborated with esteemed colleagues such as Daniel J. Weitzner and Andrew W. Lo. These partnerships have further enriched his research and development efforts.
Conclusion
Jeffrey Schiller's contributions to the field of multi-party computation systems exemplify his innovative spirit and dedication to advancing technology. His work not only enhances data security but also paves the way for future advancements in computational methods.
