Composable and versatile privacy via truncated CDP
STOC '18: Symposium on Theory of Computing Los Angeles CA USA June, 2018, pp. 74-86, 2018.
We propose truncated concentrated differential privacy (tCDP), a refinement of differential privacy and of concentrated differential privacy. This new definition provides robust and efficient composition guarantees, supports powerful algorithmic techniques such as privacy amplification via sub-sampling, and enables more accurate statistic...More
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