Enhanced zero-knowledge analysis
The system uses customized zero-knowledge proof generation with graph primitives to securely analyze causal graphs, addressing privacy concerns and enhancing efficient, transparent verification in causal analysis.
HK40135022APending Publication Date: 2026-07-17THE HONG KONG UNIV OF SCI & TECH
Patent Information
- Authority / Receiving Office
- HK · HK
- Patent Type
- Applications
- Current Assignee / Owner
- THE HONG KONG UNIV OF SCI & TECH
- Filing Date
- 2026-05-15
- Publication Date
- 2026-07-17
Smart Images
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Abstract
Zero knowledge (ZK) analysis, including causal analysis and ZK proof (ZKP) generation, can be enhanced managed and performed. A graph processor can perform a first analysis of graph data of a graph related to a cause, effect, or event based on one or more ZK graph elements. The one or more ZK graph elements can be customized for causal analysis in a ZK application. A proof manager can determine and generate a ZKP related to the cause, effect, or event based on a second result of a second analysis of result data of the first result of the first analysis, including a computation result, where the result data can include element data representing or related to the at least one ZK graph element. The proof manager can communicate the ZKP to a verifier to facilitate verification of correctness of the ZKP including the computation result.
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