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César Sabater

César Sabater

Postdoctoral Researcher

Institut national des sciences appliquées de Lyon (INSA Lyon)

Intérêts
  • Theoretical and empirical notions of privacy
  • Formal security guarantees
  • Decentralized systems
  • Machine learning
Éducation
  • PhD in Computer Science, 2022

    Université de Lille

Récents

  • PriviRec: Confidential and Decentralized Graph Filtering for Recommender Systems
  • Dropout-Robust Mechanisms for Differentially Private and Fully Decentralized Mean Estimation
  • Secure Federated Graph-Filtering for Recommender Systems
  • Scrutinizing the Vulnerability of Decentralized Learning to Membership Inference Attacks
  • Differentially Private and Decentralized Randomized Power Method

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