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Adversarial interference and its mitigations in privacy-preserving collaborative machine learning.

D. Usynin, A. Ziller, M. Makowski, R. Braren, D. Rueckert, B. Glocker, G. Kaissis, and J. Passerat-Palmbach. Nat. Mach. Intell., 3 (9): 749-758 (2021)

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Athanassios Kaissis

Georgios Antonoglou

Georgios Fetinidis

Georgios Grammatikos

Georgios Kararigas

Other publications of authors with the same name

Visual Privacy Auditing with Diffusion Models.K. Schwethelm, J. Kaiser, M. Knolle, D. Rueckert, G. Kaissis, and A. Ziller. CoRR, (2024)Joint Learning of Localized Representations from Medical Images and Reports.P. Müller, G. Kaissis, C. Zou, and D. Rueckert. CoRR, (2021)Sensitivity analysis in differentially private machine learning using hybrid automatic differentiation.A. Ziller, D. Usynin, M. Knolle, K. Prakash, A. Trask, R. Braren, M. Makowski, D. Rueckert, and G. Kaissis. CoRR, (2021)Distributed Machine Learning and the Semblance of Trust.D. Usynin, A. Ziller, D. Rueckert, J. Passerat-Palmbach, and G. Kaissis. CoRR, (2021)How Do Input Attributes Impact the Privacy Loss in Differential Privacy?T. Mueller, S. Kolek, F. Jungmann, A. Ziller, D. Usynin, M. Knolle, D. Rueckert, and G. Kaissis. CoRR, (2022)Can collaborative learning be private, robust and scalable?D. Usynin, H. Klause, D. Rueckert, and G. Kaissis. CoRR, (2022)Differentially private training of neural networks with Langevin dynamics forcalibrated predictive uncertainty.M. Knolle, A. Ziller, D. Usynin, R. Braren, M. Makowski, D. Rueckert, and G. Kaissis. CoRR, (2021)Bias-Aware Minimisation: Understanding and Mitigating Estimator Bias in Private SGD.M. Knolle, R. Dorfman, A. Ziller, D. Rueckert, and G. Kaissis. CoRR, (2023)Equivariant Differentially Private Deep Learning.F. Hölzl, D. Rueckert, and G. Kaissis. CoRR, (2023)Multi-Modal Unsupervised Brain Image Registration Using Edge Maps.V. Sideri-Lampretsa, G. Kaissis, and D. Rueckert. ISBI, page 1-5. IEEE, (2022)

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Disambiguation of "Kaissis, Georgios"

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Adversarial interference and its mitigations in privacy-preserving collaborative machine learning.

Please choose a person to relate this publication to

Athanassios Kaissis

Georgios Antonoglou

Georgios Fetinidis

Georgios Grammatikos

Georgios Kararigas

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Kaissis, Georgios"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Adversarial interference and its mitigations in privacy-preserving collaborative machine learning.

Please choose a person to relate this publication to

Athanassios Kaissis

Georgios Antonoglou

Georgios Fetinidis

Georgios Grammatikos

Georgios Kararigas

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Adversarial interference and its mitigations in privacy-preserving collaborative machine learning.