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Adam J. Hall
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2020 – today
- 2021
- [j5]Pavlos Papadopoulos
, Will Abramson, Adam J. Hall, Nikolaos Pitropakis
, William J. Buchanan
:
Privacy and Trust Redefined in Federated Machine Learning. Mach. Learn. Knowl. Extr. 3(2): 333-356 (2021) - [i7]Pavlos Papadopoulos, Will Abramson, Adam J. Hall, Nikolaos Pitropakis, William J. Buchanan:
Privacy and Trust Redefined in Federated Machine Learning. CoRR abs/2103.15753 (2021) - [i6]Daniele Romanini, Adam James Hall, Pavlos Papadopoulos
, Tom Titcombe, Abbas Ismail, Tudor Cebere, Robert Sandmann, Robin Roehm, Michael A. Hoeh:
PyVertical: A Vertical Federated Learning Framework for Multi-headed SplitNN. CoRR abs/2104.00489 (2021) - [i5]Tom Titcombe, Adam J. Hall, Pavlos Papadopoulos, Daniele Romanini:
Practical Defences Against Model Inversion Attacks for Split Neural Networks. CoRR abs/2104.05743 (2021) - [i4]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:
Syft 0.5: A Platform for Universally Deployable Structured Transparency. CoRR abs/2104.12385 (2021) - 2020
- [j4]Naghmeh Moradpoor Sheykhkanloo, Adam J. Hall:
Insider Threat Detection Using Supervised Machine Learning Algorithms on an Extremely Imbalanced Dataset. Int. J. Cyber Warf. Terror. 10(2): 1-26 (2020) - [j3]Jawad Ahmad, Ahsen Tahir, Hadi Larijani, Fawad Ahmed, Syed Aziz Shah
, Adam James Hall, William J. Buchanan
:
Energy demand forecasting of buildings using random neural networks. J. Intell. Fuzzy Syst. 38(4): 4753-4765 (2020) - [c4]William Bowditch, Will Abramson, William J. Buchanan
, Nikolaos Pitropakis, Adam J. Hall:
Privacy-preserving Surveillance Methods using Homomorphic Encryption. ICISSP 2020: 240-248 - [c3]Will Abramson, Adam James Hall, Pavlos Papadopoulos
, Nikolaos Pitropakis, William J. Buchanan
:
A Distributed Trust Framework for Privacy-Preserving Machine Learning. TrustBus 2020: 205-220 - [i3]Will Abramson, Adam James Hall, Pavlos Papadopoulos, Nikolaos Pitropakis, William J. Buchanan:
A Distributed Trust Framework for Privacy-Preserving Machine Learning. CoRR abs/2006.02456 (2020) - [i2]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:
Asymmetric Private Set Intersection with Applications to Contact Tracing and Private Vertical Federated Machine Learning. CoRR abs/2011.09350 (2020)
2010 – 2019
- 2019
- [i1]Adam James Hall, Nikolaos Pitropakis, William J. Buchanan
, Naghmeh Moradpoor:
Predicting Malicious Insider Threat Scenarios Using Organizational Data and a Heterogeneous Stack-Classifier. CoRR abs/1907.10272 (2019) - 2018
- [c2]Adam James Hall, Nikolaos Pitropakis, William J. Buchanan
, Naghmeh Moradpoor:
Predicting Malicious Insider Threat Scenarios Using Organizational Data and a Heterogeneous Stack-Classifier. IEEE BigData 2018: 5034-5039 - 2016
- [c1]Adam James Hall, Amir Hussain
, M. Guftar Shaikh:
Predicting Insulin Resistance in Children Using a Machine-Learning-Based Clinical Decision Support System. BICS 2016: 274-283 - 2014
- [j2]Adam J. Hall, Michael J. Chappell, John A. D. Aston, Stephen A. Ward:
Reprint of "Pharmacokinetic modelling of the anti-malarial drug artesunate and its active metabolite dihydroartemisinin". Comput. Methods Programs Biomed. 114(3): e14-e28 (2014) - 2013
- [j1]Adam J. Hall, Michael J. Chappell, John A. D. Aston, Stephen A. Ward:
Pharmacokinetic modelling of the anti-malarial drug artesunate and its active metabolite dihydroartemisinin. Comput. Methods Programs Biomed. 112(1): 1-15 (2013)
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