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The Science of Quantitative Information Flow

Mário S. Alvim 1 Konstantinos Chatzikokolakis 2 Annabelle Mciver 3 Carroll Morgan 4 Catuscia Palamidessi 2 Geoffrey Smith 5
1 DCC - Computer Science Department [Belo Horizonte]
2 COMETE - Concurrency, Mobility and Transactions
Inria Saclay - Ile de France, LIX - Laboratoire d'informatique de l'École polytechnique [Palaiseau]
3 Department of computing - Department of computing
4 NICTA - National ICT Australia [Sydney]
5 FIU | CIS - Knight Foundation - School of Computing and Information Sciences [Miami]
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Books
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https://hal.inria.fr/hal-01971490
Contributor : Konstantinos Chatzikokolakis Connect in order to contact the contributor
Submitted on : Monday, January 7, 2019 - 10:20:52 AM
Last modification on : Friday, May 21, 2021 - 7:22:03 PM

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CNRS | LIX | X-LIX | X | INRIA | X-DEP-INFO | IP_PARIS | GS-COMPUTER-SCIENCE

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Mário S. Alvim, Konstantinos Chatzikokolakis, Annabelle Mciver, Carroll Morgan, Catuscia Palamidessi, et al.. The Science of Quantitative Information Flow. Springer, pp.XXVIII, 478, 2020, ⟨10.1007/978-3-319-96131-6⟩. ⟨hal-01971490⟩

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