Jason Mancuso

Publication Activity (10 Years)

Years Active: 2018-2021
Publications (10 Years): 9

Top Topics

Private Information

Privacy Preserving

Vertically Partitioned Data

Top Venues

IACR Cryptol. ePrint Arch.

Nat. Mach. Intell.

Publications

Georgios Kaissis, Alexander Ziller, Jonathan Passerat-Palmbach, Théo Ryffel, Dmitrii Usynin, Andrew Trask, Ionésio Lima, Jason Mancuso, Friederike Jungmann, Marc-Matthias Steinborn, Andreas Saleh, Marcus R. Makowski, Daniel Rueckert, Rickmer Braren
End-to-end privacy preserving deep learning on multi-institutional medical imaging. Nat. Mach. Intell. 3 (6) (2021)
Cheng Hong, Zhicong Huang, Wen-jie Lu, Hunter Qu, Li Ma, Morten Dahl, Jason Mancuso
Privacy-preserving collaborative machine learning on genomic data using TensorFlow. CoRR (2020)
Alexander Ziller, Jonathan Passerat-Palmbach, Théo Ryffel, Dmitrii Usynin, Andrew Trask, Ionésio Da Lima Costa Junior, Jason Mancuso, Marcus R. Makowski, Daniel Rueckert, Rickmer Braren, Georgios Kaissis
Privacy-preserving medical image analysis. CoRR (2020)
Cheng Hong, Zhicong Huang, Wen-jie Lu, Hunter Qu, Li Ma, Morten Dahl, Jason Mancuso
Privacy-preserving collaborative machine learning on genomic data using TensorFlow. ACM TUR-C (2020)
Cheng Hong, Zhicong Huang, Wen-jie Lu, Hunter Qu, Li Ma, Morten Dahl, Jason Mancuso
Privacy-preserving collaborative machine learning on genomic data using TensorFlow. IACR Cryptol. ePrint Arch. 2020 (2020)
Jason Mancuso, Tomasz Kisielewski, David Lindner, Alok Singh
Detecting Spiky Corruption in Markov Decision Processes. CoRR (2019)
Jason Mancuso, Tomasz Kisielewski, David Lindner, Alok Singh
Detecting Spiky Corruption in Markov Decision Processes. AISafety@IJCAI (2019)
Morten Dahl, Jason Mancuso, Yann Dupis, Ben Decoste, Morgan Giraud, Ian Livingstone, Justin Patriquin, Gavin Uhma
Private Machine Learning in TensorFlow using Secure Computation. CoRR (2018)
Théo Ryffel, Andrew Trask, Morten Dahl, Bobby Wagner, Jason Mancuso, Daniel Rueckert, Jonathan Passerat-Palmbach
A generic framework for privacy preserving deep learning. CoRR (2018)