1 citations · 1 across the 5 of their papers we have counts for
8 papers
Link Inference Attack on Privacy-Preserving Knowledge Graphs
Emna Bouguerra, Ibtissam Harrouche, Ferran Alborch +1
Knowledge Graphs (KGs) are widely used to store and share structured information across sensitive domains such as healthcare, fi- nance, and social networks. A common privacy pract…
Chernoff Information as a Privacy Constraint for Adversarial Classification and Membership Advantage
Ayşe Ünsal
This work investigates a privacy metric based on Chernoff information motivated by its importance in characterizing the optimal classifier's performance. Adversarial classification…
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…
Differentially Private Adversarial Auto-Encoder to Protect Gender in Voice Biometrics
Oubaïda Chouchane, Michele Panariello, Oualid Zari +4
Over the last decade, the use of Automatic Speaker Verification (ASV) systems has become increasingly widespread in response to the growing need for secure and efficient identity v…
Information-Theoretic Approaches to Differential Privacy
Ayse Unsal, Melek Onen
This tutorial studies relationships between differential privacy and various information-theoretic measures by using several selective articles. In particular, we present how these…
Adversarial Classification under Gaussian Mechanism: Calibrating the Attack to Sensitivity
Ayse Unsal, Melek Onen
This work studies anomaly detection under differential privacy (DP) with Gaussian perturbation using both statistical and information-theoretic tools. In our setting, the adversary…
A Statistical Threshold for Adversarial Classification in Laplace Mechanisms
Ayşe Ünsal, Melek Önen
This paper studies the statistical characterization of detecting an adversary who wants to harm some computation such as machine learning models or aggregation by altering the outp…
QSOR: Quantum-Safe Onion Routing
Zsolt Tujner, Thomas Rooijakkers, Maran van Heesch +1
In this work, we propose a study on the use of post-quantum cryptographic primitives for the Tor network in order to make it safe in a quantum world. With this aim, the underlying…