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Dmitrii Usynin

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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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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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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