Apple · Apple Machine Learning
Bob, an untrusted data analyst, claims to have run a sophisticated data analysis on the distribution and makes assertions
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When and how is it possible for Alice to efficiently verify Bob’s claims (using fewer resources than would be needed to run the analysis herself)?
Key facts
- Prior work [Herman and Rothblum, FOCS 2023] demonstrated sublinear interactive proof systems, but only for the much more restricted class of label-invariant distribution properties
- Interactive Proofs for General Distribution Properties
- Suppose Alice has collected several samples from an unknown distribution, and would like to learn about the distribution
- Bob, an untrusted data analyst, claims to have run a sophisticated data analysis on the distribution and makes assertions about its properties
Summary
Authors Tal Herman†**, Guy N. Suppose Alice has collected several samples from an unknown distribution, and would like to learn about the distribution. Bob, an untrusted data analyst, claims to have run a sophisticated data analysis on the distribution and makes assertions about its properties.