activity
20102024
most citedDifferential Privacy: on the trade-off between Utility and Information Leakage

118 citations · 293 across the 21 of their papers we have counts for

collaborators

22 papers

cs.CR2024★ 9 cited

The Privacy-Utility Trade-off in the Topics API

Mário S. Alvim, Natasha Fernandes, Annabelle McIver +1

The ongoing deprecation of third-party cookies by web browser vendors has sparked the proposal of alternative methods to support more privacy-preserving personalized advertising on…

cs.CR2023★ 7 cited

A Quantitative Information Flow Analysis of the Topics API

Mário S. Alvim, Natasha Fernandes, Annabelle McIver +1

Third-party cookies have been a privacy concern since cookies were first developed in the mid 1990s, but more strict cookie policies were only introduced by Internet browser vendor…

cs.CR2023★ 8 cited

A novel analysis of utility in privacy pipelines, using Kronecker products and quantitative information flow

Mário S. Alvim, Natasha Fernandes, Annabelle McIver +2

We combine Kronecker products, and quantitative information flow, to give a novel formal analysis for the fine-grained verification of utility in complex privacy pipelines. The com…

cs.CR2023

Analyzing the Shuffle Model through the Lens of Quantitative Information Flow

Mireya Jurado, Ramon G. Gonze, Mário S. Alvim +1

Local differential privacy (LDP) is a variant of differential privacy (DP) that avoids the need for a trusted central curator, at the cost of a worse trade-off between privacy and…

cs.CR2022★ 1 cited

A novel reconstruction attack on foreign-trade official statistics, with a Brazilian case study

Danilo Fabrino Favato, Gabriel Coutinho, Mário S. Alvim +1

In this paper we describe, formalize, implement, and experimentally evaluate a novel transaction re-identification attack against official foreign-trade statistics releases in Braz…

cs.CR2022★ 15 cited

Flexible and scalable privacy assessment for very large datasets, with an application to official governmental microdata

Mário S. Alvim, Natasha Fernandes, Annabelle McIver +2

We present a systematic refactoring of the conventional treatment of privacy analyses, basing it on mathematical concepts from the framework of Quantitative Information Flow (QIF).…