Synthetic Data Generation for Privacy-Safe Hardware Design
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing systems rely on actual system data for designing applications and hardware, which can be laborious and resource-constrained, and may compromise privacy.
Innovation Solution
Generate synthetic data that mimics actual system content to design tailored hardware and applications, using statistical models to capture beneficial characteristics and preserve privacy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If actual system data is used for designing applications and hardware, then high fidelity for design is achieved, but reading the data is lengthy and laborious and consumes processing resources
Solution Approach 1:
The patent creates synthetic data that copies the essential statistical characteristics and patterns of actual system data without using the actual data itself. This synthetic copy preserves the fidelity needed for design while eliminating the time-consuming process of reading and processing actual data.
Solution Approach 2:
The patent extracts only the necessary statistical characteristics and patterns from actual system data to generate synthetic data. This extraction process removes unnecessary data elements, leaving only the essential features needed for design fidelity while reducing data volume and processing time.
2Measurement precision
If actual system data is used for designing applications and hardware, then high fidelity for design is achieved, but processing resources are undesirably constrained
Solution Approach 1:
The patent generates synthetic data that replicates the statistical properties of actual system data, providing sufficient fidelity for design purposes while requiring significantly fewer processing resources to generate and process compared to using actual data directly.
Solution Approach 2:
The patent transforms actual system data into synthetic data by changing parameters such as data representation format and statistical distribution characteristics. This transformation maintains the essential design-relevant properties while reducing the computational burden of data processing.
3Measurement precision
If actual system data is used for designing applications and hardware, then high fidelity for design is achieved, but privacy associated with the actual data is not adequately protected
Solution Approach 1:
The patent creates synthetic data that copies the statistical characteristics of actual system data without containing any actual sensitive information. This synthetic copy provides the fidelity needed for design while inherently protecting privacy since no real data is exposed to external systems.
Solution Approach 2:
The patent introduces synthetic data as an intermediary between actual system data and external design processes. This intermediary preserves the essential characteristics needed for design fidelity while acting as a privacy barrier that prevents actual sensitive data from being shared with external systems.
Data Source
AI summary
A system for generating simulated data is disclosed. The system may determine items of content utilized by a network. The system may also retrieve one or more data patterns associated with one or more features associated with the content. The system may also determine a plurality of indices associated with the data patterns. The system may also generate, based on the data patterns and the plurality of indices, simulated data associated with the content.