Nov. 30, 2022, 2:10 a.m. | Miti Mazmudar, Thomas Humphries, Jiaxiang Liu, Matthew Rafuse, Xi He

cs.CR updates on arXiv.org arxiv.org

Differential privacy (DP) allows data analysts to query databases that
contain users' sensitive information while providing a quantifiable privacy
guarantee to users. Recent interactive DP systems such as APEx provide accuracy
guarantees over the query responses, but fail to support a large number of
queries with a limited total privacy budget, as they process incoming queries
independently from past queries. We present an interactive, accuracy-aware DP
query engine, CacheDP, which utilizes a differentially private cache of past
responses, to answer …

aware cache data engine private data

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