As a negative result, we demonstrate that the gap between the Shannon Entropy and Renyi Entropy could be almost as big as the length of the entropy source ...
Dec 8, 2015 · We provide a new inequality that links two important entropy notions: Shannon Entropy and collision entropy.
The formula gives the worst possible amount of collision entropy in a probability distribution, when its Shannon Entropy is fixed, by involves convex ...
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We provide a new inequality that links two important entropy notions: Shannon Entropy H 1 and collision entropy H 2 . Our formula gives the worst possible ...
Dec 31, 2014 · Abstract: We provide a new inequality that links two important entropy notions: Shannon Entropy H 1 and collision entropy H 2 .
We provide a new inequality that links two important entropy notions: Shannon Entropy H 1 H_1 and collision entropy H 2 H_2 . Our formula gives the worst ...
We provide a new inequality that links two important entropy notions: Shannon Entropy $$H_1$$ and collision entropy.
Shannon Entropy Versus Renyi Entropy from a Cryptographic Viewpoint. Authors: Maciej Skórski; Authorids: Maciej Skorski; Venue: IMACC 2015; Venueid: DBLP.org.
Apr 5, 2015 · One can also make Shannon entropy very large while Renyi entropy and expectation of the number of guesses is very small. If you relied on ...
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Relation to other entropies Rényi entropy is an extension of many information mea- sures such as Shannon entropy, min-entropy, and Hartley entropy, collision ...