Certified Quantum Randomness for Secure Differential Privacy
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Solution Overview
Problem
Existing differential privacy protocols are vulnerable to imperfect randomness and compromised data curators, compromising privacy guarantees due to the use of pseudorandom noise that cannot be distinguished from true randomness, and are susceptible to attacks where the user application can invert noise added by the data curator.
Innovation Solution
Implementing certifiable randomness protocols using quantum computers to generate and verify near-uniformly random strings, ensuring true randomness through certified randomness protocols and randomness extractors, and using these as additive noise in differential privacy protocols.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If pseudorandom noise is used in differential privacy protocols, then data utility is maintained through computationally indistinguishable randomness, but privacy guarantees are compromised when the data curator or user application is compromised
Solution Approach 1:
The patent replaces the classical pseudorandom number generation mechanism with a quantum random number generation mechanism. The quantum system uses quantum mechanical processes (such as photon detection or quantum state measurement) to generate truly random noise, substituting the deterministic pseudorandom generation with a fundamentally probabilistic quantum process. This ensures that even if the data curator or user application is compromised, the randomness cannot be predicted or inverted, maintaining privacy guarantees.
2Reliability
If certified randomness protocols using quantum computers are implemented, then true randomness is guaranteed protecting against compromised curators, but system complexity and computational requirements increase
Solution Approach 1:
The patent introduces a quantum random number generator as an intermediary component between the data curator and the differential privacy protocol. This quantum device serves as a trusted mediator that generates certified random noise, which is then fed into the privacy-preserving computation. The quantum intermediary provides verifiable randomness certification without requiring the end users to directly interact with or understand quantum computing operations.
Solution Approach 2:
The patent implements preliminary randomness certification by having the quantum system generate and verify the randomness properties before the actual differential privacy computation takes place. The quantum random number generator produces certified random strings in advance, and these pre-certified values are then used as noise in the privacy protocol, ensuring that the randomness quality is guaranteed before any data processing occurs.
3Reliability
If quantum randomness extraction is used to generate near-uniformly random strings, then differential privacy security is enhanced, but processing time and computational overhead increase
Solution Approach 1:
The patent extracts the randomness generation function from the main differential privacy computation workflow by using a dedicated quantum random number generator that operates independently. The quantum system extracts pure randomness from quantum processes and provides it as a separate input to the privacy protocol, rather than attempting to generate randomness within the classical computation loop. This separation allows for more efficient integration.
Data Source
AI summary
A method may include: generating, by a plurality of auditor computer programs and a data curator computer program, a first random string using a first distributed randomness protocol; sending the first random string to a quantum party computer program; executing, by the quantum party computer program, a certified randomness protocol with a quantum randomness source using the first random string; receiving, from the quantum randomness source, a first quantum randomness; generating, by the auditor computer programs and the data curator computer program, a second random string using a second distributed randomness protocol; extracting, by the data curator computer program and using a randomness extractor, a second quantum randomness from the first quantum randomness using the second random string, wherein the second quantum randomness comprises a near-uniformly random string; and executing, by the data curator computer program, a differential privacy protocol using the second quantum randomness as additive noise.