18410434. EFFICIENT GARBLED CIRCUIT PROTOCOL FOR SECURE MULTI-PARTY COMPUTATION simplified abstract (Google LLC)

EFFICIENT GARBLED CIRCUIT PROTOCOL FOR SECURE MULTI-PARTY COMPUTATION

Organization Name

Google LLC

Inventor(s)

Benjamin Kreuter of Jersey City NJ (US)

Phillipp Schoppmann of Berlin (DE)

Gang Wang of Frederick MD (US)

Mariana Raykova of New York NY (US)

Marcel M. Moti Yung of New York NY (US)

EFFICIENT GARBLED CIRCUIT PROTOCOL FOR SECURE MULTI-PARTY COMPUTATION - A simplified explanation of the abstract

This abstract first appeared for US patent application 18410434 titled 'EFFICIENT GARBLED CIRCUIT PROTOCOL FOR SECURE MULTI-PARTY COMPUTATION

Simplified Explanation

This document discusses using cryptography, secret sharing, secure MPC, garbled circuits, and oblivious transfer to select digital components while preserving user privacy and data security.

Key Features and Innovation

• Utilizes secure multi-party computation (MPC) to obtain user data shares.
• Obtains secret shares of condition bits for digital component eligibility.
• Executes garbled circuits to select digital components based on conditions being satisfied.

Potential Applications

This technology can be applied in secure data selection processes, privacy-preserving digital component selection, and secure multi-party computations.

Problems Solved

This technology addresses the need for secure data selection processes, privacy protection in digital component selection, and secure computation in multi-party scenarios.

Benefits

• Enhanced user privacy protection
• Secure data selection processes
• Improved data security in multi-party computations

Commercial Applications

Secure Data Selection Technology for Privacy-Preserving Digital Component Selection This technology can be utilized in industries requiring secure data selection processes, such as healthcare, finance, and government sectors.

Prior Art

For information on prior art related to this technology, researchers can explore patents and publications in the fields of secure multi-party computation, cryptography, and data security.

Frequently Updated Research

Researchers in the fields of secure computation and data privacy continue to explore advancements in secure multi-party computation, garbled circuits, and privacy-preserving technologies.

Questions about Secure Data Selection Technology

How does this technology ensure user privacy in data selection processes?

This technology utilizes cryptographic techniques like secret sharing and garbled circuits to protect user data and ensure privacy.

What are the potential applications of this technology beyond digital component selection?

This technology can also be applied in secure data sharing, secure computation, and privacy-preserving protocols in various industries.

Original Abstract Submitted

This document describes systems and techniques for using cryptography, secret sharing, secure MPC, garbled circuits, and oblivious transfer to select digital components in ways that preserve user privacy and protects the security of data of each party that is involved in the selection process. A method includes obtaining, by a first computer of a secure multi-party computation (MPC) system, at least a first share of user data related to a user of a client device. For each digital component in a set, a first secret share of a condition bit for the condition is obtained for each of one or more conditions that condition eligibility of the digital component for distribution. A garbled circuit is executed to select a given digital component for which each of the one or more conditions of the digital component is satisfied using the first secret share and the second secret share for each condition.