David Sánchez

Josep Domingo-Ferrer, Alberto Blanco-Justicia, David Rebollo-Monedero, 2020, 2020 IEEE 32nd International Conference on Tools with Artificial Intelligence (ICTAI).

Semantic Anonymisation of Set-valued Data

Montserrat Batet, Jordi Castellà-Roca, Arnau Erola, 2014, ICAART.

Co-utility: Conciliating Individual Freedom and Common Good in the Crowd Based Business Model

Josep Domingo-Ferrer, David Sánchez, Abeba Nigussie Turi, 2015, 2015 IEEE 12th International Conference on e-Business Engineering.

Self-enforcing protocols via co-utile reputation management

Josep Domingo-Ferrer, Jordi Soria-Comas, Oriol Farràs, 2016, Inf. Sci..

Evolutive Content-based Search System - Semantic Search System based on Case-based-Reasoning and Ontology Enrichment

Hajer Baazaoui Zghal, Nesrine Ben Mustapha, Antonio Moreno, 2018, KDIR.

Enhancing data utility in differential privacy via microaggregation-based k\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{docume

Josep Domingo-Ferrer, Jordi Soria-Comas, Sergio Martínez, 2014, The VLDB Journal.

E2EJ: Anonymization of Spanish Medical Records using End-to-End Joint Neural Networks

Josep Domingo-Ferrer, Mohammed Jabreel, Najlaa Maaroof, 2019, IberLEF@SEPLN.

Improving the Utility of Differential Privacy via Univariate Microaggregation

Josep Domingo-Ferrer, Sergio Martínez, David Sánchez, 2014, Privacy in Statistical Databases.

A semantic framework for noise addition with nominal data

Montserrat Batet, Mercedes Rodriguez-Garcia, David Sánchez, 2017, Knowl. Based Syst..

Perturbative Data Protection of Multivariate Nominal Datasets

Montserrat Batet, Mercedes Rodriguez-Garcia, David Sánchez, 2016, PSD.

Anonymization of nominal data based on semantic marginality

Josep Domingo-Ferrer, David Sánchez, Guillem Rufian-Torrell, 2013, Inf. Sci..

Co-Utile Peer-to-Peer Decentralized Computing

Josep Domingo-Ferrer, Alberto Blanco-Justicia, David Sánchez, 2020, 2020 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGRID).

µ-ANT: semantic microaggregation-based anonymization tool

Josep Domingo-Ferrer, Jordi Soria-Comas, Montserrat Batet, 2020, Bioinform..

Co-utile P2P anonymous keyword search

Josep Domingo-Ferrer, Jordi Soria-Comas, Sergio Martínez, 2018, CDC 2018.

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

Josep Domingo-Ferrer, Jordi Soria-Comas, David Sánchez, 2016, Database Anonymization.

Privacy-Preserving Cloud-Based Statistical Analyses on Sensitive Categorical Data

Josep Domingo-Ferrer, Sara Ricci, David Sánchez, 2016, MDAI.

Preventing automatic user profiling in Web 2.0 applications

Jordi Castellà-Roca, David Sánchez, Alexandre Viejo, 2012, Knowl. Based Syst..

Co-Utility: Self-Enforcing protocols for the mutual benefit of participants

Josep Domingo-Ferrer, Jordi Soria-Comas, Sergio Martínez, 2017, Eng. Appl. Artif. Intell..

Improving the Utility of Differentially Private Data Releases via k-Anonymity

Josep Domingo-Ferrer, Jordi Soria-Comas, Sergio Martínez, 2013, 2013 12th IEEE International Conference on Trust, Security and Privacy in Computing and Communications.

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

Josep Domingo-Ferrer, Oriol Farràs, Jordi Ribes-González, 2019, Comput. Commun..

Automatic Anonymization of Textual Documents: Detecting Sensitive Information via Word Embeddings

Josep Domingo-Ferrer, Jordi Soria-Comas, David Sánchez, 2019, 2019 18th IEEE International Conference On Trust, Security And Privacy In Computing And Communications/13th IEEE International Conference On Big Data Science And Engineering (TrustCom/BigDataSE).

Utility-Preserving Privacy Protection of Textual Documents via Word Embeddings

Josep Domingo-Ferrer, David Sánchez, Fadi Hassan, 2023, IEEE Transactions on Knowledge and Data Engineering.

Explaining Image Misclassification in Deep Learning via Adversarial Examples

Josep Domingo-Ferrer, David Sánchez, Rami Haffar, 2021, MDAI.

KeyNet: An Asymmetric Key-Style Framework for Watermarking Deep Learning Models

Josep Domingo-Ferrer, Alberto Blanco-Justicia, David Sánchez, 2021, Applied Sciences.