activity
20152025
most citedIndividual Differential Privacy: A Utility-Preserving Formulation of Differential Privacy Guarantees

162 citations · 509 across the 8 of their papers we have counts for

collaborators

8 papers

cs.LG2025★ 2 cited

DP2Unlearning: An Efficient and Guaranteed Unlearning Framework for LLMs

Tamim Al Mahmud, Najeeb Jebreel, Josep Domingo-Ferrer +1

Large language models (LLMs) have recently revolutionized language processing tasks but have also brought ethical and legal issues. LLMs have a tendency to memorize potentially pri…

cs.CR2022★ 87 cited

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

Alberto Blanco-Justicia, David Sanchez, Josep Domingo-Ferrer +1

We review the use of differential privacy (DP) for privacy protection in machine learning (ML). We show that, driven by the aim of preserving the accuracy of the learned models, DP…

cs.CR2022★ 48 cited

Enhanced Security and Privacy via Fragmented Federated Learning

Najeeb Moharram Jebreel, Josep Domingo-Ferrer, Alberto Blanco-Justicia +1

In federated learning (FL), a set of participants share updates computed on their local data with an aggregator server that combines updates into a global model. However, reconcili…

cs.CR2018★ 36 cited

How to Avoid Reidentification with Proper Anonymization

David Sánchez, Sergio Martínez, Josep Domingo-Ferrer

De Montjoye et al. claimed that most individuals can be reidentified from a deidentified transaction database and that anonymization mechanisms are not effective against reidentifi…

cs.CR2016★ 162 cited

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

Jordi Soria-Comas, Josep Domingo-Ferrer, David Sánchez +1

Differential privacy is a popular privacy model within the research community because of the strong privacy guarantee it offers, namely that the presence or absence of any individu…

cs.CR2015★ 46 cited

Utility-Preserving Differentially Private Data Releases Via Individual Ranking Microaggregation

David Sánchez, Josep Domingo-Ferrer, Sergio Martínez +1

Being able to release and exploit open data gathered in information systems is crucial for researchers, enterprises and the overall society. Yet, these data must be anonymized befo…

cs.CR2015★ 92 cited

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

Jordi Soria-Comas, Josep Domingo-Ferrer, David Sánchez +1

Microaggregation is a technique for disclosure limitation aimed at protecting the privacy of data subjects in microdata releases. It has been used as an alternative to generalizati…

cs.CR2015★ 36 cited

Supplementary Materials for "How to Avoid Reidentification with Proper Anonymization"- Comment on "Unique in the shopping mall: on the reidentifiability of credit card metadata"

David Sánchez, Sergio Martínez, Josep Domingo-Ferrer

The study by De Montjoye et al. ("Science", 30 January 2015, p. 536) claimed that most individuals can be reidentified from a deidentified credit card transaction database and that…