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20112026
most citedOptimal Forgery and Suppression of Ratings for Privacy Enhancement in Recommendation Systems

20 citations · 63 across the 14 of their papers we have counts for

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8 papers · 1 filter

cs.CR2026

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…

cs.CR2025

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…

cs.CR2023

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…

cs.CR2023

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…

cs.CR2021★ 5 cited

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.…

cs.CR2021★ 1 cited

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…

cs.CR2017★ 1 cited

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…

cs.CR2016★ 15 cited

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…