Work

The Science of Quantitative Information Flow

Year: 2020

Type: book

Source: Information security and cryptography

DOI: 10.1007/978-3-319-96131-6

Authors: Mário S. Alvim, Konstantinos Chatzikokolakis, Annabelle McIver, Carroll Morgan, Catuscia Palamidessi, Geoffrey Smith

Institutions: Commonwealth Scientific and Industrial Research Organisation, UNSW Sydney, École Polytechnique, John S. and James L. Knight Foundation

Language: English

Topic: Cryptography and Data Security

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funders: National Science Foundation, Florida International University, Commonwealth Scientific and Industrial Research Organisation, Macquarie University, Agence Nationale de la Recherche, University of New South Wales, Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, Eidgenössische Technische Hochschule Zürich, Conselho Nacional de Desenvolvimento Científico e Tecnológico, Centre National de la Recherche Scientifique, Fundação de Amparo à Pesquisa do Estado de Minas Gerais, National and Kapodistrian University of Athens, Universidade Federal de Minas Gerais

Awards: Reliable and Privacy-Aware Software Systems via Bisimulation Metrics, TC: Small: Theory and Applications of Min-Entropy Leakage, G7837352088

OpenAlex ID: W3089101319

FWCI: 3.094

Cites:

Cited by: 71

Related to: 20