[Poster] Privacy-Preserving Distributed Spectral Centrality Measures based on Fully Homomorphic Encryption - Université de Rennes
Poster De Conférence Année : 2024

[Poster] Privacy-Preserving Distributed Spectral Centrality Measures based on Fully Homomorphic Encryption

Claire Guichemerre
  • Fonction : Auteur
Security & PrIvaCY
Tristan Allard
Security & PrIvaCY
CV
Sofiane Azogagh
Laboratory for Research on Technology for ECommerce
Sébastien Gambs
Laboratory for Research on Technology for ECommerce
Marc-Olivier Killijian
  • Fonction : Auteur
  • PersonId : 1282443
Laboratory for Research on Technology for ECommerce
Amr El Abbadi
  • Fonction : Auteur
  • PersonId : 942093
Department of Computer Science [Santa Barbara]

Domaines

Informatique [cs]

Claire Guichemerre  : Connectez-vous pour contacter le contributeur

https://inria.hal.science/hal-04714921

Soumis le : lundi 30 septembre 2024-15:42:51

Dernière modification le : mardi 19 novembre 2024-14:04:08

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hal-04714921 , version 1 (30-09-2024)

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  • HAL Id : hal-04714921 , version 1

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Claire Guichemerre, Tristan Allard, Sofiane Azogagh, Sébastien Gambs, Marc-Olivier Killijian, et al.. [Poster] Privacy-Preserving Distributed Spectral Centrality Measures based on Fully Homomorphic Encryption. International Conference on Scientific and Statistical Database Management, Jul 2024, Rennes, France. ⟨hal-04714921⟩

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UNIV-RENNES1 CNRS INRIA INSA-RENNES IRISA CENTRALESUPELEC UR1-MATH-STIC UR1-UFR-ISTIC UNIV-RENNES ANR UR1-MATH-NUM CYBERSCHOOL CYBERSCURITE
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