Title |
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 SoK: Privacy-Preserving Data SynthesisIEEE Symposium on Security and Privacy (IEEE S&P), 2023 |
 Private, fair and accurate: Training large-scale, privacy-preserving AI
models in medical imagingCommunications Medicine (Commun Med), 2023 Soroosh Tayebi Arasteh Alexander Ziller Christiane Kuhl Marcus R. Makowski S. Nebelung R. Braren Daniel Rueckert Daniel Truhn Georgios Kaissis |
 A Linear Reconstruction Approach for Attribute Inference Attacks against
Synthetic DataUSENIX Security Symposium (USENIX Security), 2023 |
 On the Risks of Collecting Multidimensional Data Under Local
Differential PrivacyProceedings of the VLDB Endowment (PVLDB), 2022 |
