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Modern Applications of Game-Theoretic Principles (Invited Paper)

Authors Catuscia Palamidessi , Marco Romanelli

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LIPIcs.CONCUR.2020.4.pdf
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Author Details

Catuscia Palamidessi
  • Inria, Palaiseau, France
  • LIX, Ecole Polytechnique, Institut Polytechnique de Paris, Palaiseau, France
Marco Romanelli
  • Inria, Palaiseau, France
  • LIX, Ecole Polytechnique, Institut Polytechnique de Paris, Palaiseau. France
  • University of Siena, Italy

Funding

This work was supported by the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme. Grant agreement № 835294.

Cite AsGet BibTex

Catuscia Palamidessi and Marco Romanelli. Modern Applications of Game-Theoretic Principles (Invited Paper). In 31st International Conference on Concurrency Theory (CONCUR 2020). Leibniz International Proceedings in Informatics (LIPIcs), Volume 171, pp. 4:1-4:9, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2020)
https://doi.org/10.4230/LIPIcs.CONCUR.2020.4

Abstract

Game theory is the study of the strategic behavior of rational decision makers who are aware that their decisions affect one another. Its simple but universal principles have found applications in the most diverse disciplines, including economics, social sciences, evolutionary biology, as well as logic, system science and computer science. Despite its long-standing tradition and its many advances, game theory is still a young and developing science. In this paper, we describe some recent and exciting applications in the fields of machine learning and privacy.

Subject Classification

ACM Subject Classification
  • Security and privacy → Formal security models
  • Security and privacy → Privacy-preserving protocols
  • Security and privacy → Information flow control
Keywords
  • Game theory
  • machine learning
  • privacy
  • security

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