Smooth entropy and Rényi entropy

  • Authors:
  • Christian Cachin

  • Affiliations:
  • Department of Computer Science, ETH Zürich, Zürich, Switzerland

  • Venue:
  • EUROCRYPT'97 Proceedings of the 16th annual international conference on Theory and application of cryptographic techniques
  • Year:
  • 1997

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Abstract

The notion of smooth entropy allows a unifying, generalized formulation of privacy amplification and entropy smoothing. Smooth entropy is a measure for the number of almost uniform random bits that can be extracted from a random source by probabilistic algorithms. It is known that the Rényi entropy of order at least 2 of a random variable is a lower bound for its smooth entropy. On the other hand, an assumption about Shannon entropy (which is Rényi entropy of order 1) is too weak to guarantee any non-trivial amount of smooth entropy. In this work we close the gap between Rényi entropy of order 1 and 2. In particular, we show that Rényi entropy of order o for any 1