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Picture for Kritika Prakash

Sensitivity analysis in differentially private machine learning using hybrid automatic differentiation


Jul 09, 2021
Alexander Ziller, Dmitrii Usynin, Moritz Knolle, Kritika Prakash, Andrew Trask, Rickmer Braren, Marcus Makowski, Daniel Rueckert, Georgios Kaissis

* Accepted to the ICML 2021 Theory and Practice of Differential Privacy Workshop 

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Syft 0.5: A Platform for Universally Deployable Structured Transparency


Apr 27, 2021
Adam James Hall, Madhava Jay, Tudor Cebere, Bogdan Cebere, Koen Lennart van der Veen, George Muraru, Tongye Xu, Patrick Cason, William Abramson, Ayoub Benaissa, Chinmay Shah, Alan Aboudib, Théo Ryffel, Kritika Prakash, Tom Titcombe, Varun Kumar Khare, Maddie Shang, Ionesio Junior, Animesh Gupta, Jason Paumier, Nahua Kang, Vova Manannikov, Andrew Trask

* ICLR 2021 Workshop on Distributed and Private Machine Learning (DPML 2021) 

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