Evaluating Tooling and Methodology when Analysing Bitcoin Mixing Services After Forensic Seizure
Presentation / Conference
Young, E. H., Chrysoulas, C., Pitropakis, N., Papadopoulos, P., & Buchanan, W. J. (2021, October)
Evaluating Tooling and Methodology when Analysing Bitcoin Mixing Services After Forensic Seizure. Paper presented at International Conference on Data Analytics for Business and Industry (ICDABI) 2021 - (DATA'21), Online
Little or no research has been directed to analysis and researching forensic analysis of the Bitcoin mixing or 'tumbling' service themselves. This work is intended to examine ...
Practical defences against model inversion attacks for split neural networks
Presentation / Conference
Titcombe, T., Hall, A. J., Papadopoulos, P., & Romanini, D. (2021, May)
Practical defences against model inversion attacks for split neural networks. Paper presented at ICLR 2021 Workshop on Distributed and Private Machine Learning (DPML 2021), Online
We describe a threat model under which a split network-based federated learning system is susceptible to a model inversion attack by a malicious computational server. We demon...
PyVertical: A Vertical Federated Learning Framework for Multi-headed SplitNN
Presentation / Conference
Romanini, D., Hall, A. J., Papadopoulos, P., Titcombe, T., Ismail, A., Cebere, T., …Hoeh, M. A. (2021, May)
PyVertical: A Vertical Federated Learning Framework for Multi-headed SplitNN. Poster presented at ICLR 2021 Workshop on Distributed and Private Machine Learning (DPML 2021), Online
We introduce PyVertical, a framework supporting vertical federated learning using split neural networks. The proposed framework allows a data scientist to train neural network...