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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…