2 citations · 2 across the 2 of their papers we have counts for
5 papers
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…
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…
Utility-Preserving Privacy Mechanisms for Counting Queries
Natasha Fernandes, Kacem Lefki, Catuscia Palamidessi
Differential privacy (DP) and local differential privacy (LPD) are frameworks to protect sensitive information in data collections. They are both based on obfuscation. In DP the no…
Generalised Differential Privacy for Text Document Processing
Natasha Fernandes, Mark Dras, Annabelle McIver
We address the problem of how to "obfuscate" texts by removing stylistic clues which can identify authorship, whilst preserving (as much as possible) the content of the text. In th…
Author Obfuscation Using Generalised Differential Privacy
Natasha Fernandes, Mark Dras, Annabelle McIver
The problem of obfuscating the authorship of a text document has received little attention in the literature to date. Current approaches are ad-hoc and rely on assumptions about an…