David Sánchez

发表

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.

Co-utile Ridesharing

J. Domingo-Ferrer, David Sánchez, Sergio Martínez, 2018 .

A co-utility approach to the mesh economy: the crowd-based business model

David Sánchez, A. N. Turi, J. Domingo-Ferrer, 2017 .

Appendix ( Data use-oriented evaluation ) to article “ Enhancing Data Utility in Differential Privacy via Microaggregation-based k-Anonymity ”

J. Domingo-Ferrer, Jordi Soria-Comas, David Sánchez, 2014 .

Distance Computation between Two Private Preference Functions

Josep Domingo-Ferrer, David Sánchez, Oriol Farràs, 2014, SEC.

Decentralized k-anonymization of trajectories via privacy-preserving tit-for-tat

J. Domingo-Ferrer, David Sánchez, Sergio Martínez, 2022, Computer Communications.

Detecting Bad Answers in Survey Data Through Unsupervised Machine Learning

Josep Domingo-Ferrer, David Sánchez, Alberto Blanco-Justicia, 2020, PSD.

Efficient Detection of Byzantine Attacks in Federated Learning Using Last Layer Biases

Josep Domingo-Ferrer, David Sánchez, Alberto Blanco-Justicia, 2020, MDAI.

A Critical Review on the Use (and Misuse) of Differential Privacy in Machine Learning

Alberto Blanco-Justicia, J. Domingo-Ferrer, David Sánchez, 2022, ArXiv.

A Critical Review on the Use (and Misuse) of Differential Privacy in Machine Learning

Alberto Blanco-Justicia, J. Domingo-Ferrer, David Sánchez, 2022, ACM Computing Surveys.

Database Anonymization

J. Domingo-Ferrer, Jordi Soria-Comas, David Sánchez, 2016 .

Enhanced Security and Privacy via Fragmented Federated Learning

Alberto Blanco-Justicia, J. Domingo-Ferrer, David Sánchez, 2022, IEEE transactions on neural networks and learning systems.

Enhanced Security and Privacy via Fragmented Federated Learning

Alberto Blanco-Justicia, J. Domingo-Ferrer, David Sánchez, 2022, IEEE Transactions on Neural Networks and Learning Systems.

A co-utility approach to the mesh economy: the crowd-based business model

J. Domingo-Ferrer, David Sánchez, A. N. Turi, 2016, Review of Managerial Science.

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..

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

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

Machine learning explainability via microaggregation and shallow decision trees

Josep Domingo-Ferrer, Alberto Blanco-Justicia, Sergio Martínez, 2020, Knowl. Based Syst..

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

Josep Domingo-Ferrer, Jordi Soria-Comas, David Megías, 2016, IEEE Transactions on Information Forensics and Security.

Fair detection of poisoning attacks in federated learning on non-i.i.d. data

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

Comment on “Unique in the shopping mall: On the reidentifiability of credit card metadata”

Josep Domingo-Ferrer, Sergio Martínez, David Sánchez, 2015, Science.

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

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

A Critical Review on the Use (and Misuse) of Differential Privacy in Machine Learning

Alberto Blanco-Justicia, J. Domingo-Ferrer, David Sánchez, 2022, ACM Comput. Surv..

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

J. Domingo-Ferrer, Jordi Soria-Comas, David Sánchez, 2014, The VLDB Journal.

Co-utile P2P ridesharing via decentralization and reputation management

Josep Domingo-Ferrer, Sergio Martínez, David Sánchez, 2016 .

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.

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).

How to Avoid Reidentification with Proper Anonymization

J. Domingo-Ferrer, David Sánchez, Sergio Martínez, 2018, ArXiv.

Supplementary Materials for "How to Avoid Reidentification with Proper Anonymization" pdf

Josep Domingo-Ferrer, Sergio Martínez, David Sánchez, 2015, ArXiv.

Co-utility: Designing Self-enforcing and Mutually Beneficial Protocols

Josep Domingo-Ferrer, Jordi Soria-Comas, David Sánchez, 2018, CDC 2018.

Improving the Utility of Differential Privacy via Univariate Microaggregation

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

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

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

Self-enforcing protocols via co-utile reputation management

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

Utility-preserving differentially private data releases via individual ranking microaggregation pdf

Josep Domingo-Ferrer, Jordi Soria-Comas, Sergio Martínez, 2015, Inf. Fusion.

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

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

Explaining predictions and attacks in federated learning via random forests

J. Domingo-Ferrer, David Sánchez, Rami Haffar, 2022, Applied Intelligence.

t-Closeness through Microaggregation: Strict Privacy with Enhanced Utility Preservation

Josep Domingo-Ferrer, Jordi Soria-Comas, David Sánchez, 2015, IEEE Transactions on Knowledge and Data Engineering.

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).

Outsourcing analyses on privacy-protected multivariate categorical data stored in untrusted clouds

Josep Domingo-Ferrer, David Sánchez, Sara Ricci, 2019, Knowledge and Information Systems.

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

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

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

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

LFighter: Defending against the label-flipping attack in federated learning.

Alberto Blanco-Justicia, J. Domingo-Ferrer, David Sánchez, 2023, Neural networks : the official journal of the International Neural Network Society.