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How Do Input Attributes Impact the Privacy Loss in Differential Privacy?


Nov 18, 2022
Tamara T. Mueller, Stefan Kolek, Friederike Jungmann, Alexander Ziller, Dmitrii Usynin, Moritz Knolle, Daniel Rueckert, Georgios Kaissis

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Can collaborative learning be private, robust and scalable?


May 05, 2022
Dmitrii Usynin, Helena Klause, Daniel Rueckert, Georgios Kaissis

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* Submitted to TPDP 2022 

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SoK: Differential Privacy on Graph-Structured Data


Mar 17, 2022
Tamara T. Mueller, Dmitrii Usynin, Johannes C. Paetzold, Daniel Rueckert, Georgios Kaissis

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Beyond Gradients: Exploiting Adversarial Priors in Model Inversion Attacks


Mar 01, 2022
Dmitrii Usynin, Daniel Rueckert, Georgios Kaissis

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Differentially Private Graph Classification with GNNs


Feb 08, 2022
Tamara T. Mueller, Johannes C. Paetzold, Chinmay Prabhakar, Dmitrii Usynin, Daniel Rueckert, Georgios Kaissis

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Distributed Machine Learning and the Semblance of Trust


Dec 21, 2021
Dmitrii Usynin, Alexander Ziller, Daniel Rueckert, Jonathan Passerat-Palmbach, Georgios Kaissis

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* Accepted at The Third AAAI Workshop on Privacy-Preserving Artificial Intelligence 

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Complex-valued deep learning with differential privacy


Oct 07, 2021
Alexander Ziller, Dmitrii Usynin, Moritz Knolle, Kerstin Hammernik, Daniel Rueckert, Georgios Kaissis

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* Submitted as conference paper to ICLR 2022 

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Partial sensitivity analysis in differential privacy


Sep 22, 2021
Tamara T. Mueller, Alexander Ziller, Dmitrii Usynin, Moritz Knolle, Friederike Jungmann, Daniel Rueckert, Georgios Kaissis

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An automatic differentiation system for the age of differential privacy


Sep 22, 2021
Dmitrii Usynin, Alexander Ziller, Moritz Knolle, Daniel Rueckert, Georgios Kaissis

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* 8 pages 

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A unified interpretation of the Gaussian mechanism for differential privacy through the sensitivity index


Sep 22, 2021
Georgios Kaissis, Moritz Knolle, Friederike Jungmann, Alexander Ziller, Dmitrii Usynin, Daniel Rueckert

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* Under review at PETS 2022 

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