Adam J. Hall

According to our database, Adam J. Hall authored at least 13 papers between 2013 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

Privacy and Trust Redefined in Federated Machine Learning.

Pavlos Papadopoulos, Will Abramson, Adam J. Hall, Nikolaos Pitropakis, William J. Buchanan

Mach. Learn. Knowl. Extr., 2021

Syft 0.5: A Platform for Universally Deployable Structured Transparency.

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

CoRR, 2021

Practical Defences Against Model Inversion Attacks for Split Neural Networks.

Tom Titcombe, Adam J. Hall, Pavlos Papadopoulos, Daniele Romanini

CoRR, 2021

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

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

CoRR, 2021

2020

Energy demand forecasting of buildings using random neural networks.

Jawad Ahmad, Ahsen Tahir, Hadi Larijani, Fawad Ahmed, Syed Aziz Shah, Adam James Hall, William J. Buchanan

J. Intell. Fuzzy Syst., 2020

Insider Threat Detection Using Supervised Machine Learning Algorithms on an Extremely Imbalanced Dataset.

Naghmeh Moradpoor Sheykhkanloo, Adam J. Hall

Int. J. Cyber Warf. Terror., 2020

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

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

CoRR, 2020

A Distributed Trust Framework for Privacy-Preserving Machine Learning.

Will Abramson, Adam James Hall, Pavlos Papadopoulos, Nikolaos Pitropakis, William J. Buchanan

Proceedings of the Trust, Privacy and Security in Digital Business, 2020

Privacy-preserving Surveillance Methods using Homomorphic Encryption.

William Bowditch, Will Abramson, William J. Buchanan, Nikolaos Pitropakis, Adam J. Hall

Proceedings of the 6th International Conference on Information Systems Security and Privacy, 2020

2018

Predicting Malicious Insider Threat Scenarios Using Organizational Data and a Heterogeneous Stack-Classifier.

Adam James Hall, Nikolaos Pitropakis, William J. Buchanan, Naghmeh Moradpoor

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2016

Predicting Insulin Resistance in Children Using a Machine-Learning-Based Clinical Decision Support System.

Adam James Hall, Amir Hussain, M. Guftar Shaikh

Proceedings of the Advances in Brain Inspired Cognitive Systems, 2016

2014

Reprint of "Pharmacokinetic modelling of the anti-malarial drug artesunate and its active metabolite dihydroartemisinin".

Adam J. Hall, Michael J. Chappell, John A. D. Aston, Stephen A. Ward

Comput. Methods Programs Biomed., 2014

2013

Pharmacokinetic modelling of the anti-malarial drug artesunate and its active metabolite dihydroartemisinin.

Adam J. Hall, Michael J. Chappell, John A. D. Aston, Stephen A. Ward

Comput. Methods Programs Biomed., 2013