lab12

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School

University of California, Berkeley *

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Course

C102

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Computer Science

Date

Apr 29, 2024

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pdf

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6

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0.0.1 3.b. Comparing the Algorithms Rank all three algorithms in order of how close the mean estimate was to the true mean. For the algorithm that had the worst estimate, why do you think it had the worst estimate? Limit your answer to 1-3 sentences . The first algorithm was the closest to the true mean, then algorithm 2 came in second and algorithm 3 had the worst estimate. This is because Algorithm 3 introduces noise to each row individually, resulting in more noise overall compared to Algorithm 2, which adds noise to the aggregated data. This increased noise level can lead to larger errors in the estimate. 1
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0.0.2 3.c. Practical Considerations Both Algorithm 2 and Algorithm 3 are 𝜖 -differentially private, but have different performances for mean estimation. Can you come up with a hypothetical practical scenario where you might want to use Algorithm 3 instead of Algorithm 2? A scenario where Algorithm 3 might be preferred over Algorithm 2 is in a situation where individual-level privacy is a higher priority than aggregate-level privacy. This can occur in a medical setting where patients records are being analyzed for research purposes. 3
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