20 citations · 63 across the 14 of their papers we have counts for
14 papers
The Adverse Effects of Omitting Records in Differential Privacy: How Sampling and Suppression Degrade the Privacy--Utility Tradeoff (Long Version)
Àlex Miranda-Pascual, Javier Parra-Arnau, Thorsten Strufe
Sampling is renowned for its privacy amplification in differential privacy (DP), and is often assumed to improve the utility of a DP mechanism by allowing a noise reduction. In thi…
Balancing Privacy and Utility in Correlated Data: A Study of Bayesian Differential Privacy
Martin Lange, Patricia Guerra-Balboa, Javier Parra-Arnau +1
Privacy risks in differentially private (DP) systems increase significantly when data is correlated, as standard DP metrics often underestimate the resulting privacy leakage, leavi…
Composition in Differential Privacy for General Granularity Notions (Long Version)
Patricia Guerra-Balboa, Àlex Miranda-Pascual, Javier Parra-Arnau +1
The composition theorems of differential privacy (DP) allow data curators to combine different algorithms to obtain a new algorithm that continues to satisfy DP. However, new granu…
Node Injection Link Stealing Attack
Oualid Zari, Javier Parra-Arnau, Ayşe Ünsal +1
In this paper, we present a stealthy and effective attack that exposes privacy vulnerabilities in Graph Neural Networks (GNNs) by inferring private links within graph-structured da…
Privacy-Protecting Techniques for Behavioral Biometric Data: A Survey
Simon Hanisch, Patricia Arias-Cabarcos, Javier Parra-Arnau +1
Our behavior (the way we talk, walk, act or think) is unique and can be used as a biometric trait. It also correlates with sensitive attributes like emotions and health conditions.…
On the privacy-utility trade-off in differentially private hierarchical text classification
Dominik Wunderlich, Daniel Bernau, Francesco Aldà +2
Hierarchical text classification consists in classifying text documents into a hierarchy of classes and sub-classes. Although artificial neural networks have proved useful to perfo…
Optimized, Direct Sale of Privacy in Personal-Data Marketplaces
Javier Parra-Arnau
Very recently, we are witnessing the emergence of a number of start-ups that enables individuals to sell their private data directly to brokers and businesses. While this new parad…
On Content-Based Recommendation and User Privacy in Social-Tagging Systems
Silvia Puglisi, Javier Parra-Arnau, Jordi Forné +1
Recommendation systems and content filtering approaches based on annotations and ratings, essentially rely on users expressing their preferences and interests through their actions…
MyTrackingChoices: Pacifying the Ad-Block War by Enforcing User Privacy Preferences
Jagdish Prasad Achara, Javier Parra-Arnau, Claude Castelluccia
Free content and services on the Web are often supported by ads. However, with the proliferation of intrusive and privacy-invasive ads, a significant proportion of users have start…
MyAdChoices: Bringing Transparency and Control to Online Advertising
Javier Parra-Arnau, Jagdish Prasad Achara, Claude Castelluccia
The intrusiveness and the increasing invasiveness of online advertising have, in the last few years, raised serious concerns regarding user privacy and Web usability. As a reaction…
Smart Deferral of Messages for Privacy Protection in Online Social Networks
Javier Parra-Arnau, Félix Gómez Mármol, David Rebollo-Monedero +1
Despite the several advantages commonly attributed to social networks such as easiness and immediacy to communicate with acquaintances and friends, significant privacy threats prov…
Optimal Forgery and Suppression of Ratings for Privacy Enhancement in Recommendation Systems
Javier Parra-Arnau, David Rebollo-Monedero, Jordi Forné
Recommendation systems are information-filtering systems that tailor information to users on the basis of knowledge about their preferences. The ability of these systems to profile…
An Information-Theoretic Privacy Criterion for Query Forgery in Information Retrieval
David Rebollo-Monedero, Javier Parra-Arnau, Jordi Forné
In previous work, we presented a novel information-theoretic privacy criterion for query forgery in the domain of information retrieval. Our criterion measured privacy risk as a di…
On the Measurement of Privacy as an Attacker's Estimation Error
David Rebollo-Monedero, Javier Parra-Arnau, Claudia Diaz +1
A wide variety of privacy metrics have been proposed in the literature to evaluate the level of protection offered by privacy enhancing-technologies. Most of these metrics are spec…