17924897. PRIVACY-PRESERVING CROSS-DOMAIN EXPERIMENTAL GROUP PARTITIONING AND MONITORING simplified abstract (GOOGLE LLC)
Contents
- 1 PRIVACY-PRESERVING CROSS-DOMAIN EXPERIMENTAL GROUP PARTITIONING AND MONITORING
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 PRIVACY-PRESERVING CROSS-DOMAIN EXPERIMENTAL GROUP PARTITIONING AND MONITORING - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Key Features and Innovation
- 1.6 Potential Applications
- 1.7 Problems Solved
- 1.8 Benefits
- 1.9 Commercial Applications
- 1.10 Questions about the Technology
- 1.11 Original Abstract Submitted
PRIVACY-PRESERVING CROSS-DOMAIN EXPERIMENTAL GROUP PARTITIONING AND MONITORING
Organization Name
Inventor(s)
Gang Wang of Frederick MD (US)
Marcel M. Moti Yung of New York NY (US)
Timothy David Lambert of Ontario (CA)
PRIVACY-PRESERVING CROSS-DOMAIN EXPERIMENTAL GROUP PARTITIONING AND MONITORING - A simplified explanation of the abstract
This abstract first appeared for US patent application 17924897 titled 'PRIVACY-PRESERVING CROSS-DOMAIN EXPERIMENTAL GROUP PARTITIONING AND MONITORING
Simplified Explanation
The patent application describes methods, systems, and apparatus for privacy-preserving cross-domain experiment monitoring using secure multi-party computation (MPC) systems.
- Receiving a request for digital content with an application instance identifier.
- Conducting a privacy-preserving selection process to choose a winning digital component.
- Generating a secret share representing the winning digital component.
- Providing data on whether the application is in the experiment group or control group for each digital component.
Key Features and Innovation
- Privacy-preserving cross-domain experiment monitoring.
- Use of secure multi-party computation (MPC) systems.
- Selection process for choosing winning digital components.
- Generation of secret shares for selected digital components.
- Differentiating between experiment and control groups for applications.
Potential Applications
This technology can be applied in various fields such as healthcare, finance, marketing, and research where privacy-preserving experiment monitoring is crucial.
Problems Solved
This technology addresses the need for monitoring experiments across different domains while maintaining privacy and confidentiality of data.
Benefits
- Enhanced privacy protection.
- Secure experiment monitoring.
- Efficient selection process.
- Clear differentiation between experiment and control groups.
Commercial Applications
- Healthcare research for monitoring experiments while protecting patient data.
- Marketing studies for analyzing consumer behavior without compromising privacy.
- Financial institutions for conducting experiments on financial products securely.
Questions about the Technology
1. How does the privacy-preserving selection process work in this technology? 2. What are the potential implications of using secure multi-party computation systems in experiment monitoring?
Original Abstract Submitted
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for privacy-preserving cross-domain experiment monitoring are described. In one aspect, a method includes receiving, by a first server of a MPC system, a request for digital content including a first secret share of an application instance identifier that identifies the application instance associated with the device. The first server conducts, in collaboration with a second server of the secure MPC system, a privacy-preserving selection process to select a winning digital component from a set of digital components. Each digital component has a corresponding unique experiment identifier and unique control identifier. A first secret share representing the winning digital component is generated. A response is generated and includes the first secret share of the selection result and data representing whether the application is in the experiment group or a control group for each digital component.
