World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
42
Citations
6964
World Ranking
8438
National Ranking
122

Overview

David Sánchez is affiliated with Rovira i Virgili University in Spain and has contributed extensively to the field of computer science, with a particular focus on artificial intelligence and privacy-preserving technologies. Their work spans multiple subfields including artificial intelligence, sociology and political science, computer vision and pattern recognition, information systems, and management science and operations research.

Research topics covered by Sánchez include:

  • Privacy-Preserving Technologies in Data
  • Adversarial Robustness in Machine Learning
  • Privacy, Security, and Data Protection
  • Cryptography and Data Security
  • Explainable Artificial Intelligence (XAI)
  • Data Quality and Management
  • Access Control and Trust

Frequent publication venues for Sánchez are:

  • arXiv (Cornell University)
  • Knowledge-Based Systems
  • Neural Networks
  • Applied Sciences
  • Computer Communications

Some of the recent papers authored by Sánchez include:

  • Machine learning explainability via microaggregation and shallow decision trees, 2020, Knowledge-Based Systems
  • A Critical Review on the Use (and Misuse) of Differential Privacy in Machine Learning, 2022, ACM Computing Surveys
  • The Text Anonymization Benchmark (TAB): A Dedicated Corpus and Evaluation Framework for Text Anonymization, 2022, Computational Linguistics
  • LFighter: Defending against the label-flipping attack in federated learning, 2023, Neural Networks
  • Enhanced Security and Privacy via Fragmented Federated Learning, 2022, IEEE Transactions on Neural Networks and Learning Systems

Sánchez has collaborated frequently with several researchers, including:

  • Josep Domingo-Ferrer
  • Alberto Blanco-Justicia
  • Najeeb Moharram Jebreel
  • Benet Manzanares-Salor
  • Krishnamurty Muralidhar

Best Publications

  • Ontology-based semantic similarity: A new feature-based approach

    David Sánchez;Montserrat Batet;David Isern;Aida Valls

  • Ontology-based information content computation

    David Sánchez;Montserrat Batet;David Isern

  • An ontology-based measure to compute semantic similarity in biomedicine

    Montserrat Batet;David Sánchez;Aida Valls

  • Agents applied in health care: A review

    David Isern;David Sánchez;Antonio Moreno

  • Learning non-taxonomic relationships from web documents for domain ontology construction

    David Sánchez;Antonio Moreno

  • Enhancing data utility in differential privacy via microaggregation-based $$k$$k-anonymity

    Jordi Soria-Comas;Josep Domingo-Ferrer;David Sánchez;Sergio Martínez

  • Semantic similarity estimation in the biomedical domain: An ontology-based information-theoretic perspective

    David SáNchez;Montserrat Batet

  • Privacy-preserving cloud computing on sensitive data: A survey of methods, products and challenges

    Josep Domingo-Ferrer;Oriol Farràs;Jordi Ribes-González;David Sánchez

  • A framework for unifying ontology-based semantic similarity measures

    Sébastien Harispe;David Sánchez;Sylvie Ranwez;Stefan Janaqi

  • Turist@: Agent-based personalised recommendation of tourist activities

    Montserrat Batet;Antonio Moreno;David Sánchez;David Isern

  • Individual Differential Privacy: A Utility-Preserving Formulation of Differential Privacy Guarantees

    Jordi Soria-Comas;Josep Domingo-Ferrer;David Sanchez;David Megias

  • t-closeness through microaggregation: Strict privacy with enhanced utility preservation

    Jordi Soria-Comas;Josep Domingo-Ferrer;David Sanchez;Sergio Martinez

  • Content annotation for the semantic web: an automatic web-based approach

    David Sánchez;David Isern;Miquel Millan

  • A semantic similarity method based on information content exploiting multiple ontologies

    David SáNchez;Montserrat Batet

  • Using ontologies for structuring organizational knowledge in Home Care assistance

    Aida Valls;Karina Gibert;David Sánchez;Montserrat Batet

  • Achieving security and privacy in federated learning systems: Survey, research challenges and future directions

    Alberto Blanco-Justicia;Josep Domingo-Ferrer;Sergio Martínez;David Sánchez

  • Organizational structures supported by agent-oriented methodologies

    David Isern;David Sánchez;Antonio Moreno

  • Ontology-driven web-based semantic similarity

    David Sánchez;Montserrat Batet;Aida Valls;Karina Gibert

  • Database Anonymization: Privacy Models, Data Utility, and Microaggregation-based Inter-model Connections

    Josep Domingo-Ferrer;David Sánchez;Jordi Soria-Comas

  • A methodology to learn ontological attributes from the Web

    David Sánchez

  • Agent-based execution of personalised home care treatments

    David Isern;Antonio Moreno;David Sánchez;Ákos Hajnal

Frequent Co-Authors

Josep Domingo-Ferrer
Josep Domingo-Ferrer Rovira i Virgili University
Laureano Jiménez
Laureano Jiménez Rovira i Virgili University
Eneko Agirre
Eneko Agirre University of the Basque Country

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