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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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PyVertical: A Vertical Federated Learning Framework for Multi-headed SplitNN


Apr 14, 2021
Daniele Romanini, Adam James Hall, Pavlos Papadopoulos, Tom Titcombe, Abbas Ismail, Tudor Cebere, Robert Sandmann, Robin Roehm, Michael A. Hoeh

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

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Asymmetric Private Set Intersection with Applications to Contact Tracing and Private Vertical Federated Machine Learning


Nov 18, 2020
Nick Angelou, Ayoub Benaissa, Bogdan Cebere, William Clark, Adam James Hall, Michael A. Hoeh, Daniel Liu, Pavlos Papadopoulos, Robin Roehm, Robert Sandmann, Phillipp Schoppmann, Tom Titcombe

* NeurIPS 2020 Workshop on Privacy Preserving Machine Learning (PPML 2020) 

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A Distributed Trust Framework for Privacy-Preserving Machine Learning


Jun 03, 2020
Will Abramson, Adam James Hall, Pavlos Papadopoulos, Nikolaos Pitropakis, William J Buchanan

* To be published in the proceedings of the 17th International Conference on Trust, Privacy and Security in Digital Business - TrustBus2020 

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