77 citations · 340 across the 32 of their papers we have counts for
11 papers · 1 filter
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…
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…
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…
Universal Optimality and Robust Utility Bounds for Metric Differential Privacy
Natasha Fernandes, Annabelle McIver, Catuscia Palamidessi +1
We study the privacy-utility trade-off in the context of metric differential privacy. Ghosh et al. introduced the idea of universal optimality to characterise the best mechanism fo…
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).…
The Laplace Mechanism has optimal utility for differential privacy over continuous queries
Natasha Fernandes, Annabelle McIver, Carroll Morgan
Differential Privacy protects individuals' data when statistical queries are published from aggregated databases: applying "obfuscating" mechanisms to the query results makes the r…