Andrew Trask
Andrew Trask
DeepMind, University of Oxford, and OpenMined
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A generic framework for privacy preserving deep learning
T Ryffel, A Trask, M Dahl, B Wagner, J Mancuso, D Rueckert, ...
arXiv preprint arXiv:1811.04017, 2018
sense2vec - A Fast and Accurate Method for Word Sense Disambiguation In Neural Word Embeddings
A Trask, P Michalak, J Liu
arXiv preprint arXiv:1511.06388, 2015
Neural arithmetic logic units
A Trask, F Hill, S Reed, J Rae, C Dyer, P Blunsom
arXiv preprint arXiv:1808.00508, 2018
Systems and methods for neural language modeling
A Trask, D Gilmore, M Russell
US Patent 10,339,440, 2019
The future of digital health with federated learning
N Rieke, J Hancox, W Li, F Milletari, HR Roth, S Albarqouni, S Bakas, ...
NPJ digital medicine 3 (1), 1-7, 2020
Toward trustworthy AI development: mechanisms for supporting verifiable claims
M Brundage, S Avin, J Wang, H Belfield, G Krueger, G Hadfield, H Khlaaf, ...
arXiv preprint arXiv:2004.07213, 2020
Sample efficient adaptive text-to-speech
Y Chen, Y Assael, B Shillingford, D Budden, S Reed, H Zen, Q Wang, ...
arXiv preprint arXiv:1809.10460, 2018
Modeling order in neural word embeddings at scale
A Trask, D Gilmore, M Russell
International Conference on Machine Learning, 2266-2275, 2015
Grokking deep learning
AW Trask
Manning Publications, 2019
Neither Private Nor Fair: Impact of Data Imbalance on Utility and Fairness in Differential Privacy
T Farrand, F Mireshghallah, S Singh, A Trask
Proceedings of the 2020 Workshop on Privacy-Preserving Machine Learning in …, 2020
Benchmarking differentially private residual networks for medical imagery
S Singh, H Sikka, S Kotti, A Trask
arXiv preprint arXiv:2005.13099, 2020
Scaling shared model governance via model splitting
M Martic, J Leike, A Trask, M Hessel, S Legg, P Kohli
arXiv preprint arXiv:1812.05979, 2018
Beyond Privacy Trade-offs with Structured Transparency
A Trask, E Bluemke, B Garfinkel, CG Cuervas-Mons, A Dafoe
arXiv preprint arXiv:2012.08347, 2020
Privacy-preserving medical image analysis
A Ziller, J Passerat-Palmbach, T Ryffel, D Usynin, A Trask, IDLC Junior, ...
arXiv preprint arXiv:2012.06354, 2020
End-to-end privacy preserving deep learning on multi-institutional medical imaging
G Kaissis, A Ziller, J Passerat-Palmbach, T Ryffel, D Usynin, A Trask, ...
Nature Machine Intelligence, 1-12, 2021
Syft 0.5: A Platform for Universally Deployable Structured Transparency
AJ Hall, M Jay, T Cebere, B Cebere, KL van der Veen, G Muraru, T Xu, ...
arXiv preprint arXiv:2104.12385, 2021
PySyft: A Library for Easy Federated Learning
A Ziller, A Trask, A Lopardo, B Szymkow, B Wagner, E Bluemke, ...
Federated Learning Systems, 111-139, 2021
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